#Data Analyst

[goflyakitebrandkites5]

American statistics enthusiasts RISE UP. These next few days aren’t going to be about the results of the election, they’re about watching our boy Kornacki go crazy in front of that touch screen in khakis. Blessed be this data analyst freak that they put on the national 24 hour news cycle. Godspeed Steve🫡

[walkawaytall]

The kind of insane thing about being a data analyst is that every company in the freaking world defines "data analyst" differently and sometimes has jobs that are data analytics jobs labeled as a completely different thing (I'm looking at you, Pinterest). Like, in my time as a data professional, I've done kind of generic data analytics work, but I've also performed data quality work (both finding and correcting data issues as well as improving and developing data capture and auditing processes and tools in order to reduce the number of corrections that are necessary in the first place), I've participated in developing data governance standards as both a SME and a data steward, and acted as the head of a data governance steering committee. The stuff I enjoy is actually the data quality/data governance stuff, but, depending on the company, these things might have their own titles or they might be lumped in under the "data analyst" title, and there is no way to actually know until you read through a job listing.

In other news, I will hopefully need a new job come October 1 (long story; who knows, maybe I'll tell it someday, but suffice it to say I have been waiting for this day since last October), so I've started to look for possible opportunities, and the whole job hunting process so far has been a bit of a slog because I never know if I will be wildly unqualified for a Senior Data Analyst position or not.

[samvavlabs]

Data Analyst Roadmap for 2024!

Cracking the Data Analyst Roadmap for 2024! Kick off your journey by mastering and delving into Python for data manipulation magic, and dazzle stakeholders with insights using PowerBi or Tableau. Don't forget, that SQL proficiency and hands-on projects refine your skillset, but never overlook the importance of effective communication and problem-solving. Are you checking off these milestones on your path to success? 📌 For more details, visit our website: https://www.samvavlabs.com  . . . #DataAnalyst2024 #CareerGrowth #roadmap #DataAnalyst #samvavlabs #roadmap2024 #dataanalystroadmap #datavisualization

[allyoulearn]

High demand and high paying jobs.

[koopa-at-college]

3/13/2024 - Started my final semester of my computer science masters degree (I hope).

[globsynbusinessschool]

Unlock diverse career opportunities with a full-time Business Analytics course. Explore roles like Business Analyst, Data Analyst, Financial Analyst, Market Analyst, and Supply Chain Analyst. Elevate your skills and secure a rewarding future.

[datasciencepedia]

This guide provides valuable insights into the benefits of having a portfolio and offers a range of significant projects that can be included to help you get started or accelerate your career in data science. Download Now.

[zelly-raptor]

Alright I'm Fine with the Hand shaped Cookie but not when its filled with Greek Salad like no! But hey its your creation...

[greatonlinetrainingsposts]

SAS Tutorial for Data Visualization: Creating Charts and Graphs That Tell a Story

In today's data-driven world, the ability to visualize data effectively is crucial for analysts and decision-makers. SAS offers robust tools for creating insightful visualizations that can uncover hidden patterns and trends. This SAS tutorial provides a step-by-step guide to crafting compelling charts and graphs using SAS, enabling you to tell a meaningful story with your data.

Understanding the Importance of Data Visualization

Data visualization transforms raw data into graphical representations, making complex information more accessible and understandable. Effective visualizations can highlight key insights, facilitate comparisons, and support data-driven decisions. In SAS, various procedures and tools are available to create a wide range of visualizations, from simple bar charts to complex heat maps.

Getting Started with SAS Visualization Tools

SAS provides several procedures for data visualization:

PROC SGPLOT: Ideal for creating single-cell graphs like bar charts, line plots, and scatter plots.

PROC SGPANEL: Useful for generating multi-cell graphs, allowing comparisons across different categories.

PROC SGSCATTER: Designed for creating scatter plot matrices to explore relationships between multiple variables.

PROC SGPIE: Enables the creation of pie and donut charts.

PROC SGMAP: Facilitates the rendering of maps with overlaid plots, useful for geographical data analysis.

These procedures are part of the ODS (Output Delivery System) Graphics, which provide a flexible and powerful framework for generating high-quality graphics.

Creating Basic Charts with PROC SGPLOT

Let's start with a simple bar chart using PROC SGPLOT. Suppose you have a dataset containing sales figures for different regions:

This code generates a vertical bar chart displaying sales by region. The vbar statement specifies the categorical variable (region), and the response option indicates the numerical variable (sales) to be plotted.

Enhancing Visualizations with Customizations

SAS allows extensive customization of charts to improve clarity and aesthetics:

Titles and Labels: Use title and label statements to add descriptive titles and axis labels.

Colors and Styles: Customize colors, line styles, and markers to differentiate data points.

Legends: Add legends to identify different groups or categories within the chart.

Annotations: Incorporate annotations to highlight specific data points or trends.

For example, to add a title and customize the color of bars:

Creating Multi-Panel Charts with PROC SGPANEL

When comparing data across multiple categories, PROC SGPANEL is invaluable. It allows the creation of panel charts, where each panel represents a subset of the data:

This code generates a series of bar charts, one for each product, facilitating easy comparison across regions.

Visualizing Relationships with PROC SGSCATTER

To explore relationships between numerical variables, scatter plots are effective. PROC SGSCATTER can create scatter plot matrices:

This produces a matrix of scatter plots, allowing you to observe pairwise relationships among age, income, and spending_score.

Creating Pie Charts with PROC SGPIE

Pie charts are useful for showing proportions. PROC SGPIE simplifies their creation:

This code generates a pie chart illustrating each company's market share.

Best Practices for Effective Data Visualization

To create impactful visualizations:

Know Your Audience: Tailor the complexity and type of visualization to your audience's needs.

Choose the Right Chart Type: Select chart types that best represent the data and highlight key insights.

Simplify: Avoid clutter by focusing on essential information and removing unnecessary elements.

Use Consistent Scales: Ensure axes are scaled appropriately to allow accurate comparisons.

Highlight Key Data: Use color or annotations to draw attention to significant data points or trends.

Conclusion

Mastering data visualization in SAS empowers you to convey complex data insights clearly and effectively. By leveraging procedures like PROC SGPLOT, PROC SGPANEL, and others, you can create a variety of charts and graphs that not only represent data accurately but also tell a compelling story. As you become more proficient, you'll be able to craft visualizations that drive informed decisions and communicate findings with impact.

[atournamentoflies]

Just finished the 4th course for my data analyst certificate! Halfway done with it now!

[walkawaytall]

So, I've been a data analyst for like five years and I'm currently working on a degree in data analytics which is...a mixed bag as far as experiences go, but once I get the piece of paper saying I went to school for a thing I already do, they have to give me more money (and my company is paying for most of it), so I'm doing the thing. Anyway, I am currently working on this project for a data quality and validation class, which is quite literally my job, and it is driving me insane.

The project is all about cleaning data to prepare it to be loaded into an existing system due to a company merger, something I happen to be uniquely qualified to do due to personal experience -- more so than even many of my colleagues. That's all fine and good. Except the "existing system", which is straight-up referred to as a "database", is just another tab on the Excel spreadsheet, and nowhere have I seen the clarification "look, we're doing it this way because it's easily accessible, but in no universe should you store a database's worth of information on a spreadsheet, nor is this tab actually a database."

And considering how many "databases" people like to keep on spreadsheets much to the chagrin of every data professional in existence, I just want to talk to whoever wrote this curriculum.

[quation]

Explore how leading data analytics companies in India like Quation are helping organizations unlock valuable insights through advanced analytics, AI, and automation.

[seenivasaniiabac]

What Does Data Analysts Do | IABAC

A data analyst gathers, organizes, and evaluates data to assist companies in making wise choices. They ensure accuracy and efficiency by identifying patterns, visualizing trends, and using statistical methods. Their observations influence strategy, boost overall company performance, and improve operations. https://iabac.org/blog/what-does-a-data-analyst-do

[roxtrdigital]

What are the essential topics covered in a data science course?

A well-rounded Data Science course equips students with technical, analytical, and practical skills to thrive in today’s data-driven world. At BSE Institute Ltd., the BSc Data Science program is designed to cover both foundational and advanced topics while providing hands-on industry exposure. Here’s a breakdown of the syllabus, duration, and unique features of the course:

BSc Data Science Course Duration at BSE Institute

Duration: 4 years (8 semesters).

Mode: Full-time, classroom-based learning with practical labs.

Eligibility: 10+2 with Mathematics/Science from a recognized board.

Essential Topics Covered in BSE’s BSc Data Science Syllabus

The curriculum is divided into core and advanced modules, ensuring students master both theory and real-world applications:

1. Foundational Topics (Year 1-2)

Programming: Python, R, SQL.

Mathematics & Statistics: Linear algebra, probability, hypothesis testing.

Data Manipulation: Pandas, NumPy, data cleaning, and preprocessing.

Database Management: SQL, NoSQL, and cloud databases.

Data Visualization: Tools like Tableau, Power BI, and Matplotlib.

2. Core Data Science (Year 3)

Machine Learning: Supervised/unsupervised learning, regression, clustering.

Big Data Technologies: Hadoop, Spark, and distributed computing.

AI & Deep Learning: Neural networks, TensorFlow, Keras, NLP.

Business Analytics: Predictive modeling, decision trees, time series analysis.

Cloud Computing: AWS, Azure, and Google Cloud for data storage/processing.

3. Advanced Topics (Year 4)

Advanced Machine Learning: Reinforcement learning, computer vision.

Cybersecurity in Data Science: Data privacy, encryption, ethical AI.

Domain-Specialized Analytics:Financial Analytics: Risk modeling, algorithmic trading.Healthcare Analytics: Predictive diagnostics, patient data analysis.

Capstone Projects: Solve real-world industry problems.

On-Job Training & Practical Exposure

BSE Institute emphasizes hands-on learning to bridge the gap between academia and industry:

Internships: 6-month internships with leading tech firms, banks, or analytics companies.

Live Projects: Work on datasets from sectors like finance, healthcare, and e-commerce.

Capstone Projects: Collaborate with industry mentors to build end-to-end data solutions.

Industrial Training: Final-year internships at companies like TCS, Accenture, or fintech startups.

Why BSE Institute’s Data Science Course Stands Out

✅ Industry-Aligned Curriculum: Focus on trending tools like Python, TensorFlow, and cloud platforms. ✅ Expert Faculty: Learn from professionals with experience in AI, banking, and analytics. ✅ Job Assistance: Placement support for roles like Data Scientist, ML Engineer, and Business Analyst. ✅ Location Advantage: Located at the Bombay Stock Exchange (BSE), Mumbai, offering exposure to financial markets.

Career Opportunities After the Course

Graduates can secure high-paying roles in:

Data Scientist (₹6-15 LPA)

Machine Learning Engineer (₹8-20 LPA)

Business Analyst (₹5-12 LPA)

Financial Data Analyst (₹6-14 LPA)

Conclusion

The BSc Data Science course at BSE Institute covers everything from programming and statistics to advanced AI and domain-specific analytics. With on-job training, internships, and industry projects, students graduate ready to tackle real-world challenges in finance, healthcare, tech, and more.

Kickstart your data science journey with BSE Institute: 👉 Explore BSc Data Science at BSE Institute

[techlogicsoftwares]

Cyber Hooks: Your Trusted Data Analyst Provider for Business Growth and Success

In today’s digital era, data plays a crucial role in decision-making for businesses. Organizations rely on data analysis to identify trends, improve efficiency, and enhance customer experiences. Cyber Hooks is a trusted data analyst provider, offering businesses expert insights to drive growth and achieve success.

What is a Data Analyst?

A data analyst collects, processes, and interprets data to help businesses make informed decisions. They work with various data sources, apply statistical methods, and generate reports to uncover trends, patterns, and insights. Cyber Hooks provides professional data analysis services, ensuring businesses can use their data effectively.

Why Data Analysis is Important

Data analysis is essential for businesses of all sizes. It helps in:

Understanding customer behavior

Improving operational efficiency

Making data-driven decisions

Identifying market trends

Reducing business risks

Cyber Hooks ensures that businesses can unlock the full potential of their data with expert analysis and interpretation.

Services Offered by Cyber Hooks

Cyber Hooks provides a range of data analysis services tailored to meet different business needs. These include:

1. Data Collection and Processing

Gathering and organizing data from various sources, such as databases, social media, and customer feedback. Cyber Hooks ensures accurate and structured data for analysis.

2. Data Cleaning and Preparation

Raw data often contains errors and inconsistencies. Cyber Hooks cleans and processes data to ensure high accuracy and reliability.

3. Data Visualization and Reporting

Presenting data in clear and easy-to-understand formats, such as charts, graphs, and dashboards. This helps businesses interpret data insights quickly.

4. Predictive Analytics

Using advanced statistical models to forecast trends and future outcomes. This helps businesses make proactive decisions based on data-driven predictions.

5. Market Research and Consumer Insights

Analyzing market trends and customer behavior to help businesses understand their audience and improve marketing strategies.

6. Business Intelligence Solutions

Integrating data analysis with business intelligence (BI) tools to provide real-time insights for decision-making.

Benefits of Choosing Cyber Hooks

Businesses that partner with Cyber Hooks gain several advantages, including:

1. Data-Driven Decision Making

Cyber Hooks helps businesses move from guesswork to data-driven strategies, improving efficiency and profitability.

2. Competitive Edge

By understanding market trends and customer needs, businesses can stay ahead of competitors.

3. Improved Customer Experience

Data analysis helps companies personalize services and improve customer satisfaction.

4. Cost Reduction

Efficient data management helps businesses cut unnecessary expenses and optimize operations.

5. Risk Management

Cyber Hooks identifies potential risks using data analytics, helping businesses take preventive measures.

Industries That Benefit from Data Analysis

Cyber Hooks provides data analysis services for various industries, including:

Retail — Customer trend analysis, sales forecasting, and inventory management.

Healthcare — Patient data analysis, medical research, and healthcare efficiency improvements.

Finance — Fraud detection, investment analysis, and risk management.

E-commerce — Customer segmentation, product recommendations, and marketing insights.

Education — Student performance tracking and e-learning data analysis.

How to Get Started with Cyber Hooks

Partnering with Cyber Hooks is simple. Businesses can:

Contact Cyber Hooks — Discuss data needs and project requirements.

Provide Data Sources — Share relevant data for analysis.

Receive Insights — Get detailed reports and actionable insights.

Implement Strategies — Use data-driven decisions to enhance business performance.

Conclusion

Cyber Hooks is a leading data analyst provider, helping businesses unlock valuable insights from their data. Whether you need market research, predictive analytics, or business intelligence, Cyber Hooks ensures accurate, reliable, and actionable data solutions.

Take your business to the next level with Cyber Hooks and make data work for you!

[khushnuma123]

How Data Analytics is Shaping the Future of Artificial Intelligence

Data analytics is a powerful catalyst that is accelerating the evolution of Artificial Intelligence. Together, they are revolutionizing industries by enhancing decision-making, improving accuracy, and driving innovation. As AI continues to grow and learn from data, its potential will only increase, leading to even more transformative changes across sectors like healthcare, finance, and manufacturing.

Read more: https://www.prpnewswire.com/how-data-analytics-is-shaping-the-future-of-artificial-intelligence