#sas data engineer course

[aspiretechsoft]

Mastering SAS Data Engineering | Interview Prep Tips | Aspire Techsoft

Essential skills for a career in SAS data engineering are highlighted. This video explores how to prepare for a job interview and showcase your expertise in this field. So, if you’re looking to boost your data Engineer career, this SAS Data Engineer course in Pune is the perfect opportunity to learn and get certified in the most in-demand skills today.

[imarticuslearning-course]

Future of Banking and Finance Careers in Tech

Introduction: How Tech is Redefining Finance Careers

In the last decade, the finance industry has witnessed a digital revolution. Fintech, AI, and cloud technologies have opened up a whole new horizon of possibilities for the industry. Nowadays, finance jobs in tech are not just in demand—they're shaping the future of investment banking.

From data scientist positions in banking to AI-powered trading systems, technology is reshaping conventional job roles. In this article, we discuss the magnitude of new-age tech jobs, preparing for them, and why a solid foundation via a banking and finance course is needed for upcoming professionals.

Fintech Jobs: Revolutionising the Landscape

Fintech has blurred the lines between finance and technology. The emergence of startups and digital-first banks is driving the demand for tech-savvy professionals who understand both domains. 

These fintech careers span across payments, blockchain, lending platforms, wealth technology, and insurance technology.

Key areas include:

Front-end and back-end development for financial apps

API development and third-party integrations

Payment gateway infrastructure

Blockchain and smart contracts

Fintech experts must adapt rapidly to emerging regulatory landscapes and changing client needs, making these roles both challenging and thrilling. 

Data Science Jobs in Banking

Data is the new oil, and banks have enormous reservoirs of it. Data science jobs in banking are becoming even more crucial for data-driven decision-making, customer segmentation, fraud detection, and customised services. 

Hot jobs include:

Quantitative Analyst (Quant)

Credit Risk Model Developer

Data Engineer

Business Intelligence Analyst

They utilise Python, R, SQL, and tools such as Tableau and SAS to glean useful insights and inform product strategies.

Investment Banking IT Careers: Merging Tech and Strategy

Classical investment banking now has a dedicated department that handles IT infrastructure, security, cloud environments, and algorithmic trading. Investment banking IT careers are ideal for candidates who wish to combine their technical expertise with strategic financial processes.

These careers involve:

DevOps Engineers for trading platforms

IT Security Analysts safeguarding financial information

Cloud Architects storing real-time trading data

Algorithm Developers for high-frequency trading

These positions offer a dynamic environment that requires innovative thinking on a daily basis.

AI Job Roles in Finance: Advanced Applications

AI is no longer merely automation—it's creating intelligent systems that can learn, predict, and improve. AI job roles in finance span from chatbots and robo-advisors to sophisticated portfolio management tools.

In-demand jobs:

Machine Learning Engineer

AI Research Scientist

NLP Engineer (Natural Language Processing)

Fraud Detection Systems Analyst

FinTech AI improves decision-making, improves compliance, and reduces operational expenses. 

Cloud Engineer Banking Jobs: Real-Time Data Management

The shift to the cloud in banking expands the demand for cloud experts. Cloud engineer banking positions play a vital role in maintaining scalability, data security, and high availability for financial institutions.

Typical tasks:

Migrating on-premise infrastructure to cloud platforms

Designing cloud-compatible storage and computing architecture

Maintaining regulatory compliance in cloud deployments

Managing real-time data streams

These experts are often associated with technologies such as AWS, Azure, and Google Cloud.

Natural Integration: Reskilling for the Technology-Inclined Finance Industry

Surviving in this dynamic environment involves more than mastering technicalities—it demands financial literacy and a comprehensive understanding of regulatory models. People who want to enter technology-focused positions in investment banking must establish a strong foundation that integrates finance concepts with applied technology.

That is where formal learning comes in. Courses that provide both knowledge in the domain and actual application give the competitive edge one needs to succeed in these demanding positions.

The Role of a Banking and Finance Course in Career Growth

With technology upending the banking landscape, becoming armed with the appropriate skills is more crucial than ever. A course in banking and finance not only aids in learning the very basics of financial markets and banking operations, but also incorporates exposure to tech tools now a necessity in the sector.

Imarticus Learning's Banking and Finance Program is one such that blends financial literacy with live industry skills. From learning risk management and trade finance to experiential learning with digital tools and soft skills, the program is crafted for those who wish to join or reskill in this vibrant industry.

Next Steps: Building a Future-Ready Career

Looking to the future, it's apparent that finance professionals need to grow with the profession. As an up-and-coming analyst, developer, or manager, adopting technology is no longer a matter of choice—it's fundamental. The way forward is constant learning, hands-on practice, and maintaining a lead on trends.

Seeking out organized upskilling in a banking and finance course can be an excellent step towards bringing your career into harmony with future possibilities in this rapidly evolving field.

FAQs

1. What are the most sought-after tech careers in finance? 

They are AI engineers, data scientists, cloud architects, DevOps engineers, and fintech product developers.

2. Is the demand for data science positions in banking high? 

Yes, fraud detection, customer insights, and portfolio optimisation require data science.

3. How is AI transforming the investment banking industry? 

AI makes decisions automatically, improves compliance, and enhances trading precision.

4. What abilities are required for fintech careers? 

Programming technical skills, business finance acumen, and knowledge of regulatory environments.

5. Is a banking and finance course beneficial for tech jobs? 

Yes. It provides a solid grounding in financial concepts while incorporating live tech exposure.

6. What are investment banking IT jobs like? 

They are highly dynamic, innovation-led roles concentrating on cloud infrastructure, trading systems, and security.

7. Do I have to code for AI finance jobs? 

Yes, familiarity with Python, R, or similar languages is typically required.

8. What do I do if I want to pursue a career in fintech after graduation? 

Begin with internships, then skill up by taking a certified banking and finance course.

9. Are cloud engineering jobs increasing in banking? 

Yes, because of digital transformation and the need for scalable infrastructure.

10. What does the future of technology hold for finance? More automation, improved personalisation, real-time analytics, and greater calls for hybrid skill sets.

[techscaler-solutions]

Master the Future of Analytics at the Top Advanced SAS Training Centre in Pune

In today’s data-driven world, tools like SAS (Statistical Analysis System) play a crucial role in helping professionals turn raw data into actionable insights. From finance and healthcare to retail and manufacturing, SAS is the backbone of smart decision-making. However, the tool alone isn’t enough—mastery is key. That’s where an advanced SAS training centre in Pune can set you apart.

SAS remains a gold standard in the analytics industry due to its robustness, flexibility, and deep statistical capabilities. Even with the rise of newer platforms, organizations continue to rely heavily on SAS for complex data analysis and predictive modeling. By honing your skills through expert guidance, you're not just learning software—you’re learning how to lead in the data age.

Pune: The Data Capital in the Making

It’s no surprise that Pune is fast becoming a hotspot for IT and analytics talent. With its thriving tech ecosystem, proximity to major corporate hubs, and a culture of education, the city is ideal for upskilling in specialized fields like SAS.

Choosing an advanced SAS training centre in Pune means you gain access to world-class mentors, peer learning opportunities, and real-world projects. Unlike online-only courses, Pune’s top institutes offer a hybrid approach, combining theory with hands-on experience—preparing you for the rigors of professional analytics roles.

What Makes an SAS Training Centre Truly “Advanced”?

Not all training centers are created equal. An advanced SAS training centre in Pune focuses on more than just teaching syntax. It immerses students in real business scenarios and advanced concepts like machine learning, clinical trial analysis, and risk modeling.

Look for a curriculum that includes:

Predictive analytics using SAS Enterprise Miner

Data manipulation with advanced PROC SQL and macros

Integration with R and Python for hybrid analytics

Case studies from healthcare, banking, and retail sectors

By covering such expansive topics, these programs help you gain not just proficiency but mastery.

Career Outcomes That Speak for Themselves

Graduating from an advanced SAS training centre in Pune opens doors to a wide array of opportunities. From MNCs to government projects, trained SAS professionals are always in demand. Roles like Data Analyst, Statistical Programmer, and Business Intelligence Consultant await those with proven SAS expertise.

Even better, many Pune-based training centers have strong placement support. Thanks to tie-ups with top firms, students often receive job offers right after course completion. This seamless transition from training to employment is a game-changer in today’s competitive job market.

Making the Right Choice: What to Look For

So, how do you choose the right advanced SAS training centre in Pune? Start with the basics—check for certification programs recognized by SAS Institute. Then, look deeper:

Are the trainers industry experts or just academic professionals?

Is there a capstone project or internship module?

How many hours of practical sessions are included?

What do alumni say about job support and learning experience?

Visit the centres if possible, ask questions, and attend demo sessions. Making an informed decision here will directly influence your career trajectory in the data science world.

Final Thoughts: Your SAS Journey Starts Here

Enrolling in an advanced SAS training centre in Pune could be the smartest move of your career. It’s more than just a course—it’s an investment in a future where data is the new oil and analytics is the engine that powers progress.

[hawkstack]

Integrating ROSA Applications with AWS Services (CS221)

As cloud-native architectures become the backbone of modern application deployments, combining the power of Red Hat OpenShift Service on AWS (ROSA) with native AWS services unlocks immense value for developers and DevOps teams alike. In this blog post, we explore how to integrate ROSA-hosted applications with AWS services to build scalable, secure, and cloud-optimized solutions — a key skill set emphasized in the CS221 course.

🚀 What is ROSA?

Red Hat OpenShift Service on AWS (ROSA) is a managed OpenShift platform that runs natively on AWS. It allows organizations to deploy Kubernetes-based applications while leveraging the scalability and global reach of AWS, without managing the underlying infrastructure.

With ROSA, you get:

Fully managed OpenShift clusters

Integrated with AWS IAM and billing

Access to AWS services like RDS, S3, DynamoDB, Lambda, etc.

Native CI/CD, container orchestration, and operator support

🧩 Why Integrate ROSA with AWS Services?

ROSA applications often need to interact with services like:

Amazon S3 for object storage

Amazon RDS or DynamoDB for database integration

Amazon SNS/SQS for messaging and queuing

AWS Secrets Manager or SSM Parameter Store for secrets management

Amazon CloudWatch for monitoring and logging

Integration enhances your application’s:

Scalability — Offload data, caching, messaging to AWS-native services

Security — Use IAM roles and policies for fine-grained access control

Resilience — Rely on AWS SLAs for critical components

Observability — Monitor and trace hybrid workloads via CloudWatch and X-Ray

🔐 IAM and Permissions: Secure Integration First

A crucial part of ROSA-AWS integration is managing IAM roles and policies securely.

Steps:

Create IAM Roles for Service Accounts (IRSA):

ROSA supports IAM Roles for Service Accounts, allowing pods to securely access AWS services without hardcoding credentials.

Attach IAM Policy to the Role:

Example: An application that uploads files to S3 will need the following permissions:{ "Effect": "Allow", "Action": ["s3:PutObject", "s3:GetObject"], "Resource": "arn:aws:s3:::my-bucket-name/*" }

Annotate OpenShift Service Account:

Use oc annotate to associate your OpenShift service account with the IAM role.

📦 Common Integration Use Cases

1. Storing App Logs in S3

Use a Fluentd or Loki pipeline to export logs from OpenShift to Amazon S3.

2. Connecting ROSA Apps to RDS

Applications can use standard drivers (PostgreSQL, MySQL) to connect to RDS endpoints — make sure to configure VPC and security groups appropriately.

3. Triggering AWS Lambda from ROSA

Set up an API Gateway or SNS topic to allow OpenShift applications to invoke serverless functions in AWS for batch processing or asynchronous tasks.

4. Using AWS Secrets Manager

Mount secrets securely in pods using CSI drivers or inject them using operators.

🛠 Hands-On Example: Accessing S3 from ROSA Pod

Here’s a quick walkthrough:

Create an IAM Role with S3 permissions.

Associate the role with a Kubernetes service account.

Deploy your pod using that service account.

Use AWS SDK (e.g., boto3 for Python) inside your app to access S3.

oc create sa s3-access oc annotate sa s3-access eks.amazonaws.com/role-arn=arn:aws:iam::<account-id>:role/S3AccessRole

Then reference s3-access in your pod’s YAML.

📚 ROSA CS221 Course Highlights

The CS221 course from Red Hat focuses on:

Configuring service accounts and roles

Setting up secure access to AWS services

Using OpenShift tools and operators to manage external integrations

Best practices for hybrid cloud observability and logging

It’s a great choice for developers, cloud engineers, and architects aiming to harness the full potential of ROSA + AWS.

✅ Final Thoughts

Integrating ROSA with AWS services enables teams to build robust, cloud-native applications using best-in-class tools from both Red Hat and AWS. Whether it's persistent storage, messaging, serverless computing, or monitoring — AWS services complement ROSA perfectly.

Mastering these integrations through real-world use cases or formal training (like CS221) can significantly uplift your DevOps capabilities in hybrid cloud environments.

Looking to Learn or Deploy ROSA with AWS?

HawkStack Technologies offers hands-on training, consulting, and ROSA deployment support. For more details www.hawkstack.com 

[excelrthane1]

Reading and Importing Data in SAS: CSV, Excel, and More

In the world of data analytics, efficient data importation is a fundamental skill. SAS (Statistical Analysis System), a powerful platform for data analysis and statistical computing, offers robust tools to read and import data from various formats, including CSV, Excel, and more. Regardless of whether you are a beginner or overseeing analytics at an enterprise level, understanding how to import data into SAS is the initial step towards obtaining valuable insights.

This article breaks down the most common methods of importing data in SAS, along with best practices and real-world applications—offering value to everyone from learners in a Data Analyst Course to experienced professionals refining their workflows.

Why Importing Data Matters in SAS

Before any analysis begins, the data must be accessible. Importing data correctly ensures integrity, compatibility, and efficiency in processing. SAS supports a range of formats, allowing analysts to work with data from different sources seamlessly. The most common among these are CSV and Excel files due to their ubiquity in business and research environments.

Understanding how SAS handles these files can drastically improve productivity, particularly when working with large datasets or performing repetitive tasks in reporting and modelling.

Importing CSV Files into SAS

Comma-Separated Values (CSV) files are lightweight, easy to generate, and commonly used to exchange data. In SAS, importing CSVs is straightforward.

When importing a CSV file, SAS treats each line as an observation and each comma as a delimiter between variables. This format is ideal for users who deal with exported data from databases or web applications.

Best Practices:

Clean your CSV files before importing—ensure no missing headers, extra commas, or encoding issues.

Use descriptive variable names in the first row of the CSV to streamline your SAS workflow.

Always review the imported data to verify that variable types and formats are interpreted correctly.

Professionals undertaking a Data Analyst Course often begin with CSV files due to their simplicity, making this an essential foundational skill.

Importing Excel Files into SAS

Excel files are the go-to format for business users and analysts. They often contain multiple sheets, merged cells, and various data types, which adds complexity to the import process.

SAS provides built-in tools for reading Excel files, including engines like XLSX and the Import Wizard, which are available in SAS Studio or Enterprise Guide. These tools allow users to preview sheets, specify ranges, and even convert date formats during import.

Key Considerations:

Ensure the Excel file is not open during import to avoid access errors.

Use consistent formatting in Excel—SAS may misinterpret mixed data types within a single column.

If your Excel workbook contains multiple sheets, decide whether you need to import one or all of them.

Advanced users and those enrolled in a Data Analytics Course in Mumbai often work with Excel as part of larger data integration pipelines, making mastery of these techniques critical.

Importing Data from Other Sources

Beyond CSV and Excel, SAS supports numerous other data formats, including:

Text files (.txt): Often used for raw data exports or logs.

Database connections: Through SAS/ACCESS, users can connect to databases like Oracle, SQL Server, or MySQL.

JSON and XML: Increasingly used in web-based and API data integrations.

SAS Datasets (.sas7bdat): Native format with optimised performance for large datasets.

Each format comes with its own import nuances, such as specifying delimiters, encoding schemes, or schema mappings. Familiarity with these enhances flexibility in working with diverse data environments.

Tips for Efficient Data Importing

Here are a few practical tips to improve your SAS data importing skills:

Automate repetitive imports using macros or scheduled jobs.

Validate imported data against source files to catch discrepancies early.

Log and document your import steps—especially when working in team environments or preparing data for audits.

Stay updated: SAS frequently updates its procedures and import capabilities to accommodate new formats and security standards.

Learning and Upskilling with SAS

Importing data is just one piece of the SAS puzzle. For aspiring data professionals, structured training offers the advantage of guided learning, hands-on practice, and industry context. A Data Analyst training will typically begin with data handling techniques, setting the stage for more advanced topics like modelling, visualisation, and predictive analytics.

For learners in metro regions, a Data Analytics Course in Mumbai can provide local networking opportunities, expert mentorship, and exposure to real-world projects involving SAS. These programs often include training in data import techniques as part of their curriculum, preparing students for the demands of modern data-driven roles.

Final Thoughts

Reading and importing data into SAS is a vital skill that underpins all subsequent analysis. Whether you're working with CSV files exported from a CRM, Excel spreadsheets from finance teams, or direct connections to enterprise databases, mastering these tasks can significantly enhance your efficiency and accuracy.

By understanding the nuances of each data format and leveraging SAS's powerful import tools, you’ll be better equipped to manage data workflows, ensure data quality, and drive valuable insights. And for those committed to building a career in analytics, a course could be the stepping stone to mastering not just SAS but the entire data science pipeline.

Business name: ExcelR- Data Science, Data Analytics, Business Analytics Course Training Mumbai

Address: 304, 3rd Floor, Pratibha Building. Three Petrol pump, Lal Bahadur Shastri Rd, opposite Manas Tower, Pakhdi, Thane West, Thane, Maharashtra 400602

Phone: 09108238354, 

Email: enquiry@excelr.com

[techdatasolutio01]

Master the Future: Enroll in the Best Artificial Intelligence Course in Pune

The demand for artificial intelligence (AI) professionals is surging as industries rapidly integrate AI to optimize operations and deliver innovative solutions. From healthcare and finance to retail and automotive, AI has become a transformative force. Aspiring tech professionals are increasingly looking to enhance their skillsets with specialized training, and the Artificial intelligence course in Pune is gaining prominence as one of the best options for quality education and hands-on experience in this field.

Pune, with its robust academic ecosystem and growing tech industry, offers the perfect backdrop for learning cutting-edge AI technologies. Students and working professionals are attracted to Pune’s AI courses due to their practical approach, industry-aligned curriculum, and experienced faculty. These courses often cover essential topics such as machine learning, deep learning, natural language processing, neural networks, computer vision, and AI-driven automation. They are designed to help learners gain both theoretical knowledge and real-world application skills, ensuring they are job-ready by the end of the program.

Another reason learners choose AI courses in Pune is the presence of major tech companies and startups actively hiring AI talent. These firms often collaborate with training institutes to provide internships, live projects, and placement assistance. This integrated learning and working environment is a key factor in the popularity of Pune as a destination for AI education. Many courses also provide certification from renowned tech organizations, giving students an edge in the job market.

While Pune is rapidly becoming a hub for AI education, learners also consider other cities like Mumbai. The Artificial intelligence course in Mumbai is also well-regarded, offering similar benefits in terms of curriculum and career opportunities. However, Pune’s relatively lower cost of living, less congestion, and strong educational infrastructure make it a preferred choice for many.

AI professionals trained in Pune often find opportunities in roles such as AI engineers, machine learning specialists, data scientists, research analysts, and business intelligence developers. The courses help build expertise in Python, TensorFlow, Keras, and other essential tools, which are critical in building scalable and effective AI systems. Additionally, participants learn to work on projects that simulate real-world problems, enabling them to solve complex challenges across different sectors.

With the constant evolution of AI, staying updated through structured learning programs has become essential. Whether you’re a recent graduate or an experienced professional looking to pivot your career, investing in an AI course can open doors to lucrative and future-proof careers. Pune stands out as an ideal city to start this journey due to its thriving tech scene, academic excellence, and access to experienced mentors.

For More Info:-

Power BI course in Pune

SAS course in Pune

[literaturereviewhelp]

The MET329 Fluid Power is a career course offered by accredited worldwide universities such as Indiana State University. The course was inspired by the long-time application of fluid power dating back from ancient Egypt and Mesopotamia where water was used for irrigation (Hill 143-152). Fluid power course includes various engineering and science modules, which covers topics such as dam design, pipe flow, pumps, hydropower, flow measurements, turbines, erosions, and river channel behaviors (Eckert 20). The accredited person with a fluid power degree can find an opportunity in various industries such as mining to operate mining machinery, in the real estate industries to offer services such as lift maintenance. The experience related to fluid power can also be applied in motor vehicles, agriculture, and in any other engineering projects where power is generated from gas and fluids. In conclusion, the MET329 Fluid Power course is rooted in ancient civilizations where it was used in irrigation, boats, among other applications. It started as technological advancements, but today is studied as a career subject, which can assist one to be employed in various industries such as water supply, irrigations, and hydraulic motors amongst others. The course will shape the world’s technological scope in the future by offering special research algorithms of automating all machinery through fluid power.   OR   I finished my undergraduate studies in 2006 with a bachelor's in mathematics having completed my studies. My desire is to be awarded a Ph.D. in statistics because it will offer me a great chance to expand my academics in some meaningful areas of my interest. Statistics is an applied science and can be applied in many areas, unlike many other academic disciplines. Technology is changing day by day and computers are used the more. A lot of data is created which needs to be analyzed hence new methods are required to be invented for handling this information. I believe the Ph.D. program in statistics will best suit this area of my interest. Ph.D. in statistics will enable me to apply the standard algorithms from some of the software packages to the data using elements like the SAS and package up results. I desire a Ph.D. in statistics because am also interested in solving problems and doing original work. It will be my pleasure to be enrolled in your program and believe it fits my career ambitions significantly. I have provided all materials required for my acceptance for the master’s program. I appreciate this humble opportunity to submit my application for consideration. Please you can contact me if at all there is something else required so I can provide it. I look forward to hearing from you soon. Read the full article

[aspiretechsoft]

The Data Engineer course in Pune is offered by Aspire Techsoft. The program aims to develop skills in SAS programming, SQL, and macro usage for data manipulation and analysis. The SAS Data Engineering Course prepares students for two global certifications, covering base and Viya programming. The goal is to provide students with a comprehensive skillset for data science and analytics using SAS. Aspiring data engineers can gain certifications in the most demanded SAS skills.

[techscaler-solutions]

Data Dreams Unleashed: A Deep Dive into SAS Coaching in Pune

Embarking on a journey to master data analytics often feels like setting sail on uncharted waters. Fortunately, SAS coaching in Pune offers a reliable compass, guiding aspirants through the vast ocean of statistical techniques and software skills. From foundational modules to advanced procedures, Pune’s coaching centers craft structured curricula that blend theory with hands-on practice.

Moreover, seasoned trainers leverage real-world case studies, ensuring learners apply concepts to actual business problems. Consequently, students gain confidence not just in clicking through menus, but in interpreting output, drawing insights, and making informed decisions. As a result, Pune’s SAS ecosystem cultivates professionals ready to tackle complex data challenges.

Why Pune Pulsates with Data Energy

Pune’s reputation as an educational powerhouse extends well beyond engineering and management. Indeed, the city’s vibrant IT scene and burgeoning startups create a fertile ground for sas coaching in pune. Consequently, learners benefit from guest lectures by industry experts, networking events, and internship opportunities that reinforce classroom teachings.

Furthermore, Pune’s affordable cost of living and student-friendly neighborhoods attract talent from across India. This melting pot of perspectives fuels lively discussions in coaching centers, where peers learn from each other’s experiences. Therefore, by choosing Pune for SAS training, you immerse yourself in a dynamic community that values collaboration and continuous learning.

Selecting the Perfect SAS Coaching Partner

With so many options available, choosing the right institute can feel overwhelming. However, by focusing on a few key criteria, you can pinpoint a center that aligns with your goals. First, assess trainers’ credentials: do they hold SAS certifications or boast industry experience? Second, evaluate curriculum depth—does it cover Base SAS, Advanced Programming, and emerging analytics topics?

In addition, seek out centers that offer flexible learning modes. For instance, if you juggle work and studies, evening or weekend batches can keep you on track without burning out. Finally, don’t overlook post-training support. Institutes that provide doubt-clearing sessions, placement assistance, and access to alumni networks give you an edge long after classes end.

Success Stories: From Novice to Ninja

Consider Priya, a marketing graduate who felt daunted by data but dreamed of becoming an analyst. After enrolling in a reputed sas coaching in pune program, she progressed from writing simple PROC MEANS statements to designing complex predictive models. Today, Priya secures a six-figure package at a multinational firm, crediting her trainers’ mentorship and practical assignments.

Similarly, Ravi transitioned from a finance role to a coveted analytics position within months of completing his SAS course. His secret? Regular mock interviews organized by his coaching center, which honed both technical know-how and soft skills. These transformations illustrate that with the right guidance, anyone can emerge as a SAS ninja.

Beyond the Classroom: Networking & Career Growth

Learning SAS is only half the battle; leveraging your skills in the job market completes the circle. Fortunately, many Pune institutes host monthly meetups, hackathons, and guest talks—platforms where you can showcase your projects and connect with recruiters. Moreover, collaboration on group assignments often sparks long-lasting professional relationships.

Therefore, view your coaching stint as an investment not just in knowledge, but in your network. Engage actively in forums, participate in analytics competitions, and seek feedback from peers. As you build your portfolio and personal brand, new opportunities will naturally follow.

Stepping Stones to a Data-Driven Future

Ultimately, investing in sas coaching in pune sets you on a path toward data-driven decision-making excellence. Whether you aspire to be a statistics expert, business analyst, or data scientist, Pune provides the tools, mentors, and community support to help you thrive.

Furthermore, as industries increasingly rely on analytics for strategic insights, SAS proficiency becomes a coveted asset. Thus, by mastering SAS in Pune’s nurturing environment, you position yourself at the forefront of tomorrow’s data revolution.

[jprie]

Career Pathways in Data Science: Skills, Certifications, and Jobs

Introduction

Overview of the booming demand for data science professionals in 2025.

The diversity of career opportunities in data science across industries.

Why data science is considered a future-proof career path.

Key Skills Required for a Data Science Career

Technical Skills

Programming Languages: Python, R, SQL.

Data Wrangling and Cleaning.

Machine Learning Algorithms.

Data Visualization Tools: Tableau, Power BI, Matplotlib.

Cloud Computing: AWS, Azure, Google Cloud.

Big Data Technologies: Hadoop, Spark.

MLOps and Model Deployment.

Soft Skills

Critical Thinking and Problem Solving.

Communication and Storytelling with Data.

Collaboration in Cross-Functional Teams.

Top Certifications for Data Science Professionals

General Data Science Certifications

Certified Data Scientist (CDS) by DASCA.

Microsoft Certified: Azure Data Scientist Associate.

IBM Data Science Professional Certificate.

Specialized Certifications

Google Professional Machine Learning Engineer.

AWS Certified Machine Learning – Specialty.

TensorFlow Developer Certification.

SAS Certified Data Scientist.

Industry-Specific Certifications

Certifications tailored for finance, healthcare, or e-commerce sectors.

Career Opportunities in Data Science

Entry-Level Roles

Data Analyst

Junior Data Scientist

Business Intelligence Analyst

Mid-Level Roles

Machine Learning Engineer

Data Engineer

Statistician

Advanced Roles

Data Science Manager

AI Research Scientist

Chief Data Officer (CDO)

Emerging Roles in 2025

Ethical AI Specialist

AI Product Manager

Data Translator

Industries Hiring Data Science Professionals

Technology and Software Development

Finance and Banking

Healthcare and Pharmaceuticals

Retail and E-commerce

Energy and Utilities

Media and Entertainment

Job Market Trends in Data Science for 2025

Increased demand for AI and ML specialists.

Growth in remote and hybrid work models.

The role of generative AI in shaping new data science jobs.

Rising emphasis on ethical AI and data privacy roles.

How to Build a Career in Data Science

Start with Education

Pursue a relevant degree or online course in data science or analytics.

Gain Hands-On Experience

Participate in internships, projects, or Kaggle competitions.

Create a Portfolio

Showcase diverse projects, from EDA to advanced machine learning models.

Networking and Mentorship

Join data science communities on LinkedIn or GitHub.

Attend conferences and meetups.

Keep Learning

Stay updated with the latest tools, techniques, and industry trends.

Conclusion

Encouragement to start a data science journey.

The importance of adaptability and continuous learning in a rapidly evolving field.

Final thoughts on the rewarding nature of a career in data science.

Data training in chennai

Datascience course in chennai

Data analytics course in chennai

Python course  in velachery

[wwewewwsd]

MBA in Data Analytics vs MBA in Business Analytics: Which Career Path is Better for You?

Data and analytics are the voice and ears of today's world, growing the business of growth, efficiency, and competitiveness. This increased role of analytics has led to specialized MBA in India in the aspects of Data Analytics and Business Analytics. These programs will prepare professionals with the skills to understand, analyze, and utilize data appropriately for strategic decision-making. However, although the two are related to data analysis, they vary considerably in terms of focus, prospects, and a 'bag of skills'. In this article, we will compare MBA in Data Analytics and MBA in Business Analytics in India across key factors like fee structure, career opportunities, job prospects, placement success, salary packages, and personal and professional growth.

1. Understanding the Key Differences

MBA in Data Analytics

An MBA in Data Analytics is relatively technical in processing data, statistical analysis, and developing computational models. Tools and techniques of machine learning, artificial intelligence, Python, R, and SQL are also applied to interpreting large complex data sets. Those passionate about data science, programming, and quantitative analysis find the role appropriate, providing for positions where significant technical competencies are involved in handling the data.

MBA in Business Analytics

An MBA in Business Analytics, on the other hand, combines data analysis with business strategy. This program focuses not only on the technical aspects of data but also on its application in solving real-world business problems. Students are taught to analyze business problems using data insights and craft strategies based on this analysis. It will have all aspects of business management, finance, marketing, and operations along with analytics tools. The difference lies in the fact that MBA in Business Analytics is more related to business decision-making and strategy, rather than just pure data analysis.

2. Fee Structure

MBA in Data Analytics in India

The fee structure for an MBA in Data Analytics in India differs from one institute to another, depending on its location and reputation. On average, fees range from ₹2,00,000 to ₹15,00,000 for the course; however, institute level varies widely. For example, Indian School of Business (ISB), IIMs, and other top institutes are much on the higher side in terms of fee. Many of these institutions also offer scholarships and financial aid programs to help students manage the cost of education.

MBA in Business Analytics in India

The fee structure for the MBA in Business Analytics is likely in the same category, that is, between ₹6,00,000 to ₹12,00,000 throughout the program. This difference ranges from institute to institute, with institutes having a high reputation, rich infrastructure, the quality of faculties, and program nature. Such institutes like IIM Ahmedabad, IIM Bangalore, XLRI Jamshedpur charge an even higher price. Business Analytics programs will also include the specialized certifications such as Tableau, Power BI, or SAS, which also add to the overall cost of the program.

3. Career Opportunities and Job Prospects

MBA in Data Analytics

The demand for data analytics professionals in India is growing at a fast pace. Since businesses increasingly depend on data for decision-making, an MBA in Data Analytics can lead to several career options. Graduates can work in IT, finance, healthcare, consulting, retail, and e-commerce. These professionals are usually employed to manage and interpret large datasets in order to reveal insights that could improve business performance.

Major career options after graduating in an MBA in Data Analytics include the following:

Data Scientist

Data Analyst

Machine Learning Engineer

Business Intelligence Analyst

Data Engineer

Quantitative Analyst

Data Consultant

MBA in Business Analytics

Business analytics graduates are not restricted to technical career positions only since the MBA program is integrated with business management. They are of higher potential in assuming strategic leadership roles across companies. They can use data in managing critical business issues with decision-enabling influence of cross-functional departments such as marketing, finance, operations, and strategy.

Major Career Outlook for post MBA in Business Analytics graduates Business Analyst Business Intelligence Manager

Data Driven Consultant

Marketing Analytics Manager

Operations Research Analyst

Strategy Consultant

Business Strategy Analyst

4. Placement and Job Opportunities

MBA in Data Analytics

The placement opportunities are robust for the students of the MBA in Data Analytics program offered in India. The opportunities available are more substantial in tech-driven companies, startups, and consultancies. Because of the increase in the usage of data in business decisions, organizations are very keen to recruit professionals who can manage data and derive actionable insights. Some top recruiters are TCS, Infosys, Wipro, Accenture, and Deloitte.

Placement Success: ISB, IIMs, and IITs are top business schools that offer an MBA in Data Analytics, and they show high placement success, as companies are actively seeking candidates who can handle data, work on machine learning, and work on AI.

MBA in Business Analytics

Strong placement opportunities for the graduates are also expected from this MBA in Business Analytics programme especially for consulting firms, management companies, banks, and e-commerce firms. Top recruiters like McKinsey, BCG, Amazon, and Google look for business analysts who can bring analytical abilities together with a good understanding of business operations. These roles typically surround three key areas: applying data to guide business strategy and drive decision-making at the managerial level with process optimization.

Placement Success: MBA in Business Analytics programs by IIM Bangalore and XLRI Jamshedpur have maintained great industry interfaces and have high placement rates and tremendous demand for business analysts.

5. Salary Packages

MBA in Data Analytics

The salary of an MBA in Data Analytics can range from very high to extremely low depending on the job, the company, and the location in India. Entry-level positions like data analysts or junior data scientists will be around ₹4,00,000 to ₹8,00,000 per annum. After a few years of experience, the salary will go up to around ₹15,00,000 to ₹25,00,000 per year. More senior roles, like machine learning engineers or data architects, can command ₹30,00,000 to ₹45,00,000 per year or more, depending on experience in tech companies or financial institutions.

MBA in Business Analytics

Packages for the graduate of an MBA in Business Analytics, especially if done with good acumen for the business side of things and proper technical skills are also very rewarding. For business analyst or marketing analytics manager, these entry-level posts, the pay goes from ₹8,00,000 to ₹15,00,000 per year. Those professionals holding experience between 5 to 7 years can receive ₹20,00,000 to ₹30,00,000 per annum. If individuals take on positions with a senior status like the chief analytics officer or strategy consultant, they receive remunerations higher than ₹40,00,000 annually.

6. How These Programs Support Students in their Professional and Personal Lives

MBA in Data Analytics

An MBA in Data Analytics provides students with the deep understanding of advanced analytical tools and technologies. While students gain the technical knowledge, they also develop skills such as critical thinking, problem-solving, and data-driven decision-making. These skills are applicable across industries, and with data being integral to modern businesses, graduates are highly sought after.

Personal and Career Growth: The program fosters growth by developing technical competency in data science, enhancing analytical thinking, and equipping one with the ability to work with cutting-edge technology. It also enhances the ability to communicate complex data insights to non-technical stakeholders, an important skill in any business environment.

MBA in Business Analytics

An MBA in Business Analytics focuses on honing both technical and business management skills. The program is designed to equip students with the knowledge needed to implement analytics within business strategies and lead teams to drive data-driven decision-making. This dual exposure to business and analytics prepares students for leadership roles that require both managerial expertise and technical knowledge.

Personal and Career Growth: Students learn the most important business strategy, leadership, and communication skills that make them a well-rounded professional. They are trained to make data-driven decisions, which is very important for growing businesses in the digital age. In addition, the networking opportunities through internships and industry collaborations further enhance their career prospects.

7. Conclusion: Which Program is Right for You?

Both MBA in Data Analytics and MBA in Business Analytics are good educational paths for people who want to make a career in the world of data and business strategy. However, the choice between the two depends on the interests, skills, and career goals of the individual.

MBA in Data Analytics: If you are more inclined towards technical skills, enjoy working with large datasets, and want to specialize in fields like data science, machine learning, and big data.

MBA in Business Analytics: This course is for students who want to combine analytical acumen with business strategy, intend to lead data-driven initiatives, and seek managerial or consultancy positions where data insights can fuel business growth.

In India, both programs provide great career opportunities, high salaries, and opportunities for personal and professional development. But students need to weigh their strengths and long-term career aspirations before choosing.

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The Best Data Science Certifications to Master in 2025 for Career Advancement

1. Certified Analytics Professional (CAP)

The Certified Analytics Professional (CAP) certification is a highly respected credential that validates your ability to turn complex data into valuable insights. This vendor-neutral certification is ideal for professionals with a background in analytics and data science. To qualify, you need at least three years of professional experience if you have a master’s degree, or five years if you have a bachelor’s degree

. The CAP certification is valid for three years and requires periodic renewal.

2. IBM Data Science Professional Certificate

Offered by IBM and hosted on Coursera, the IBM Data Science Professional Certificate is a comprehensive program that covers essential data science skills, including Python, SQL, and machine learning. The course consists of nine modules and includes hands-on projects to build your portfolio

. This certification is suitable for beginners and professionals looking to enhance their data science knowledge. The best part? It’s free and valid for a lifetime.

3. Microsoft Certified: Azure AI Fundamentals

The Microsoft Certified: Azure AI Fundamentals certification is perfect for those interested in artificial intelligence and its applications in data science. This certification covers fundamental AI concepts and how to implement them using Microsoft Azure

4. Cloudera Data Platform (CDP) Generalist Certification

The Cloudera Data Platform (CDP) Generalist Certification is designed for data professionals who work with the Cloudera platform. This certification tests your knowledge of the platform and your proficiency in using it for data analysis, engineering, and development

. The certification is valid for two years and is valuable for anyone looking to demonstrate their expertise in Cloudera’s ecosystem.

5. Google Professional Data Engineer

The Google Professional Data Engineer certification is ideal for professionals who want to demonstrate their ability to design, build, and manage data processing systems on Google Cloud Platform (GCP). This certification covers topics such as data storage, data processing, and machine learning

. It’s a great choice for data engineers and data scientists looking to specialize in GCP.

6. SAS Certified Data Scientist

The SAS Certified Data Scientist certification is a comprehensive program that covers data manipulation, machine learning, and predictive modeling using SAS software. This certification is suitable for professionals with experience in data analysis and programming

7. Data Science Council of America (DASCA) Senior Data Scientist (SDS)

The DASCA Senior Data Scientist (SDS) certification is designed for experienced data scientists looking to validate their advanced skills. This certification covers a wide range of topics, including big data, machine learning, and data visualization

. To qualify, you need at least five years of professional experience in data science or a related field. The SDS certification is valid for five years and requires periodic renewal.

Conclusion

Earning a data science certification is a strategic investment in your career. These certifications not only enhance your skills and knowledge but also demonstrate your commitment to professional growth. Whether you’re a beginner or an experienced data scientist, there’s a certification that can help you achieve your career goals. By mastering these certifications in 2025, you’ll be well-equipped to thrive in the dynamic and competitive field of data science.

Explore AICERT’s wide range of AI and data science certifications, and don’t forget to use the code NEWUSERS25 for a 25% discount on all courses. Click here to start your journey into AI or data science today!

Have questions or are ready to take the next step in your AI certification journey? Reach out to us at AI CERTs — our team is here to guide you every step of the way!

[jcmarchi]

Making a mark in the nation’s capital

New Post has been published on https://thedigitalinsider.com/making-a-mark-in-the-nations-capital/

Making a mark in the nation’s capital

Anoushka Bose ’20 spent the summer of 2018 as an MIT Washington program intern, applying her nuclear physics education to arms control research with a D.C. nuclear policy think tank.

“It’s crazy how much three months can transform people,” says Bose, now an attorney at the Department of Justice.

“Suddenly, I was learning far more than I had expected about treaties, nuclear arms control, and foreign relations,” adds Bose. “But once I was hooked, I couldn’t be stopped as that summer sparked a much broader interest in diplomacy and set me on a different path.”

Bose is one of hundreds of MIT undergraduates whose academic and career trajectories were influenced by their time in the nation’s capital as part of the internship program.

Leah Nichols ’00 is a former D.C. intern, and now executive director of George Mason University’s Institute for a Sustainable Earth. In 1998, Nichols worked in the office of U.S. Senator Max Baucus, D-Mont., developing options for protecting open space on private land.

“I really started to see how science and policy needed to interact in order to solve environmental challenges,” she says. “I’ve actually been working at that interface between science and policy ever since.”

Marking its 30th anniversary this year, the MIT Washington Summer Internship Program has shaped the lives of alumni, and expanded MIT’s capital in the capital city.

Bose believes the MIT Washington summer internship is more vital than ever.

“This program helps steer more technical expertise, analytical thinking, and classic MIT innovation into policy spaces to make them better-informed and better equipped to solve challenges,” she says. With so much at stake, she suggests, it is increasingly important “to invest in bringing the MIT mindset of extreme competence as well as resilience to D.C.”

MIT missionaries

Over the past three decades, students across MIT — whether studying aeronautics or nuclear engineering, management or mathematics, chemistry or computer science — have competed for and won an MIT Washington summer internship. Many describe it as a springboard into high-impact positions in politics, public policy, and the private sector.

The program was launched in 1994 by Charles Stewart III, the Kenan Sahin (1963) Distinguished Professor of Political Science, who still serves as the director.

“The idea 30 years ago was to make this a bit of a missionary program, where we demonstrate to Washington the utility of having MIT students around for things they’re doing,” says Stewart. “MIT’s reputation benefits because our students are unpretentious, down-to-earth, interested in how the world actually works, and dedicated to fixing things that are broken.”

The outlines of the program have remained much the same: A cohort of 15 to 20 students is selected from a pool of fall applicants. With the help of MIT’s Washington office, the students are matched with potential supervisors in search of technical and scientific talent. They travel in the spring to meet potential supervisors and receive a stipend and housing for the summer. In the fall, students take a course that Stewart describes as an “Oxbridge-type tutorial, where they contextualize their experiences and reflect on the political context of the place where they worked.”

Stewart remains as enthusiastic about the internship program as when he started and has notions for building on its foundations. His wish list includes running the program at other times of the year, and for longer durations. “Six months would really change and deepen the experience,” he says. He envisions a real-time tutorial while the students are in Washington. And he would like to draw more students from the data science world. “Part of the goal of this program is to hook non-obvious people into knowledge of the public policy realm,” he says.

Prized in Washington

MIT Vice Provost Philip Khoury, who helped get the program off the ground, praised Stewart’s vision for developing the initial idea.

“Charles understood why science- and technology-oriented students would be great beneficiaries of an experience in Washington and had something to contribute that other internship program students would not be able to do because of their prowess, their prodigious abilities in the technology-engineering-science world,” says Khoury.

Khoury adds that the program has benefited both the host organizations and the students.

“Members of Congress and senior staff who were developing policies prized MIT students, because they were powerful thinkers and workaholics, and students in the program learned that they really mattered to adults in Washington, wherever they went.”

David Goldston, director of the MIT Washington Office, says government is “kind of desperate for people who understand science and technology.” One example: The National Institute of Standards and Technology has launched an artificial intelligence safety division that is “almost begging for students to help conduct research and carry out the ever-expanding mission of worrying about AI issues,” he says.

Holly Krambeck ’06 MST/MCP, program manager of the World Bank Data Lab, can attest to this impact. She hired her first MIT summer intern, Chae Won Lee, in 2013, to analyze road crash data from the Philippines. “Her findings were so striking, we invited her to join the team on a mission to present her work to the government,” says Krambeck.

Subsequent interns have helped the World Bank demonstrate effective, low-cost, transit-fare collection systems; identify houses eligible for hurricane protection retrofits under World Bank loans; and analyze heatwave patterns in the Philippines to inform a lending program for mitigation measures.

“Every year, I’ve been so impressed by the maturity, energy, willingness to learn new skills, and curiosity of the MIT students,” says Krambeck. “At the end of each summer, we ask students to present their projects to World Bank staff, who are invariably amazed to learn that these are undergraduates and not PhD candidates!”

Career springboard

“It absolutely changed my career pathway,” says Samuel Rodarte Jr. ’13, a 2011 program alumnus who interned at the MIT Washington Office, where he tracked congressional hearings related to research at the Institute. Today, he serves as a legislative assistant to Senate Majority Leader Charles E. Schumer. An aerospace engineering and Latin American studies double major, Rodarte says the opportunity to experience policymaking from the inside came “at just the right time, when I was trying to figure out what I really wanted to do post-MIT.”

Miranda Priebe ’03 is director of the Center for Analysis of U.S. Grand Strategy for the Rand Corp. She briefs groups within the Pentagon, the U.S. Department of State, and the National Security Council, among others. “My job is to ask the big question: Does the United States have the right approach in the world in terms of advancing our interests with our capabilities and resources?”

Priebe was a physics major with an evolving interest in political science when she arrived in Washington in 2001 to work in the office of Senator Carl Levin, D-Mich., the chair of the Senate Armed Services Committee. “I was working really hard at MIT, but just hadn’t found my passion until I did this internship,” she says. “Once I came to D.C. I saw all the places I could fit in using my analytical skills — there were a million things I wanted to do — and the internship convinced me that this was the right kind of work for me.”

During her internship in 2022, Anushree Chaudhuri ’24, urban studies and planning and economics major, worked in the U.S. Department of Energy’s Building Technologies Office, where she hoped to experience day-to-day life in a federal agency — with an eye toward a career in high-level policymaking. She developed a web app to help local governments determine which census tracts qualified for environmental justice funds.

“I was pleasantly surprised to see that even as a lower-level civil servant you can make change if you know how to work within the system.” Chaudhuri is now a Marshall Scholar, pursuing a PhD at the University of Oxford on the socioeconomic impacts of energy infrastructure. “I’m pretty sure I want to work in the policy space long term,” she says.

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🔥SAS Data Engineering Certification Course

This comprehensive learning program is designed to build proficiency in SAS Data Engineering, enabling learners to gain expertise in SAS Programming, master macros, and process SAS Data using SQL, SAS Viya, and more!

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Harnessing Machine Learning with SAS: Techniques and Best Practices

Machine learning is transforming data analytics, and SAS programming provides powerful tools to leverage these techniques for better decision-making.

A fundamental aspect of machine learning is supervised learning, which involves training algorithms on labeled datasets to create predictive models. With SAS programming, you can implement models like regression, decision trees, and neural networks. Our SAS online training courses guide you through these processes, providing hands-on experience with real data.

Feature engineering is crucial for building effective machine learning models. By selecting and transforming the right variables, you can improve model accuracy. In our SAS programming tutorials, we focus on practical strategies for effective feature selection, enabling you to create strong predictive models.

Understanding the balance between bias and variance is essential for optimizing performance. Techniques like cross-validation and hyperparameter tuning in SAS help refine your models for improved results. SAS also integrates with various data sources, making it easier to handle large datasets and complex analyses.

Visualization plays a key role in communicating your findings. SAS offers robust tools for visualizing model results, turning complex data into clear insights that resonate with stakeholders. Enrolling in SAS online training allows you to learn these techniques and explore best practices that will enhance your analytical 

[pandeypankaj]

What are some suggested certifications for an aspiring data scientist?

Following are some of the hot-cake certifications that give a boost to one's data science skills and career prospects:

Foundational Certifications

Data Science Certification by IBM: The concept, tools, and techniques in Data Science get covered under this overall certification.

SAS Data Scientist Associate: The tools and techniques would be focused on SAS, which has a big hold in the data science field.

Microsoft Certified

 Azure Data Scientist Associate: This certification validates your ability to execute Data Science solution on Microsoft Azure cloud Specialised Certifications AWS Certified Machine Learning 

Specialty: AWS Certification is one of the hot selling certification that proves your expertise in building and deploying machine learning models on the AWS cloud.

Google Cloud Certified Professional Data Engineer: This certification will acknowledge your expertise in designing and building data pipelines and data warehouses on Google Cloud Platform.

Deep Learning Specialization by Coursera: Coursework covers important concepts, techniques, and applications of deep learning with hands-on practice.

Professional Certifications

Certified Analytics Professional: Globally recognized, it allows for one to have their analytics skills and knowledge accredited.

CDMP: Certified Data Management Professional, with a focus on concepts, practices, and/or tools of data management.

Additional Considerations 

Industry-specific certifications: There are certifications in specific industries that are unique to such fields like healthcare and finance. 

Online courses and certifications: From Coursera through edX to Lejhro, many platforms offer a large array of courses in the area of data science, with attendant certification upon completion. 

Hands-on experience: As much value may be placed on certifications, practical experience with projects based on data science will be very relevant.

Remember that the best certifications for you will be based on your experiences, career goals, and interests. It is also very important to keep abreast of new trends and technologies in the field.