#Data Science Platform

[blogs123345]

Data Science Platform Market Comprehensive Statistics, Growth Rate, and Future Trends 2035

The Global Data Science Platform Market Report is a comprehensive report on the Data Science Platform market, offering key insights on business strategies, current trends, and presenting qualitative and quantitative analysis of the Data Science Platform market. This report offers in-depth research insights on key and significant aspects of the Data Science Platform market, providing an in-depth analysis of key drivers, restraints, restraints, growth prospects, threats, and risks. The report also includes an in-depth analysis of the competitive landscape and regional scope of the Data Science Platform market.

The global Data Science Platform market report employs an extremely extensive and perceptive process that analyzes statistical data relating to services and products offered in the market. The research study is a pivotal document in understanding the needs and wants of the clients. The report is comprised of significant data about the leading companies and their marketing strategies. The Data Science Platform industry is witnessing an expansion and change of dynamics owing to the entry of several new players.

The study outlines the rapidly evolving and growing market segments along with valuable insights into each element of the industry. The industry has witnessed the entry of several new players, and the report aims to deliver insightful information about their transition and growth in the market. Mergers, acquisitions, partnerships, agreements, product launches, and joint ventures are all outlined in the report.

Key Companies Profiled in the Report are

Data Science Platform Market, Till 2035: Distribution by Type of Component (Platform and Service), Type of Deployment (Cloud and On-premises), Type of Application (Business Operation, Customer Support, Finance & Accounting, Logistics, Marketing, and Others), Type of Vertical (BFSI, Energy Utilities, Government, Healthcare, IT & Telecom, Manufacturing, Retail, and Others).

The research report offers a comprehensive regional analysis of the market with regards to production and consumption patterns, import/export, market size and share in terms of volume and value, supply and demand dynamics, and presence of prominent players in each market. 

Regional Analysis Covers:

North America (U.S., Canada)

Europe (U.K., Italy, Germany, France, Rest of EU)

Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)

Latin America (Chile, Brazil, Argentina, Rest of Latin America)

Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)

To know more about the report, visit @

[techinfotrends]

Data science turns data into insights cloud computing offers scalable resources. Together, they’re revolutionizing the way businesses operate and innovate. Find out why the data science platform market is booming.

[nec-india]

dotData is an enterprise-grade platform designed to automate the entire workflow of advanced analytics. It democratizes AI for organizations, simplifying data utilization, and improving ML models with transparent pipelines. No-Code Automated Feature Engineering accelerates insight discovery, automating the process of building Predictive Analytics models in days.

[ict-123]

According to the report published by Allied Market Research, the global data science platform market generated $4.7 billion in 2020 and is estimated to reach $79.7 billion by 2030, witnessing a CAGR of 33.6% from 2021 to 2030.

[aishavass]

Rising need to extract insights from huge volumes of unstructured and structured data is the major factor driving the demand for the data science platform...

[bigleapblog]

Your Guide to B.Tech in Computer Science & Engineering Colleges

In today's technology-driven world, pursuing a B.Tech in Computer Science and Engineering (CSE) has become a popular choice among students aspiring for a bright future. The demand for skilled professionals in areas like Artificial Intelligence, Machine Learning, Data Science, and Cloud Computing has made computer science engineering colleges crucial in shaping tomorrow's innovators. Saraswati College of Engineering (SCOE), a leader in engineering education, provides students with a perfect platform to build a successful career in this evolving field.

Whether you're passionate about coding, software development, or the latest advancements in AI, pursuing a B.Tech in Computer Science and Engineering at SCOE can open doors to endless opportunities.

Why Choose B.Tech in Computer Science and Engineering?

Choosing a B.Tech in Computer Science and Engineering isn't just about learning to code; it's about mastering problem-solving, logical thinking, and the ability to work with cutting-edge technologies. The course offers a robust foundation that combines theoretical knowledge with practical skills, enabling students to excel in the tech industry.

At SCOE, the computer science engineering courses are designed to meet industry standards and keep up with the rapidly evolving tech landscape. With its AICTE Approved, NAAC Accredited With Grade-"A+" credentials, the college provides quality education in a nurturing environment. SCOE's curriculum goes beyond textbooks, focusing on hands-on learning through projects, labs, workshops, and internships. This approach ensures that students graduate not only with a degree but with the skills needed to thrive in their careers.

The Role of Computer Science Engineering Colleges in Career Development

The role of computer science engineering colleges like SCOE is not limited to classroom teaching. These institutions play a crucial role in shaping students' futures by providing the necessary infrastructure, faculty expertise, and placement opportunities. SCOE, established in 2004, is recognized as one of the top engineering colleges in Navi Mumbai. It boasts a strong placement record, with companies like Goldman Sachs, Cisco, and Microsoft offering lucrative job opportunities to its graduates.

The computer science engineering courses at SCOE are structured to provide a blend of technical and soft skills. From the basics of computer programming to advanced topics like Artificial Intelligence and Data Science, students at SCOE are trained to be industry-ready. The faculty at SCOE comprises experienced professionals who not only impart theoretical knowledge but also mentor students for real-world challenges.

Highlights of the B.Tech in Computer Science and Engineering Program at SCOE

Comprehensive Curriculum: The B.Tech in Computer Science and Engineering program at SCOE covers all major areas, including programming languages, algorithms, data structures, computer networks, operating systems, AI, and Machine Learning. This ensures that students receive a well-rounded education, preparing them for various roles in the tech industry.

Industry-Relevant Learning: SCOE’s focus is on creating professionals who can immediately contribute to the tech industry. The college regularly collaborates with industry leaders to update its curriculum, ensuring students learn the latest technologies and trends in computer science engineering.

State-of-the-Art Infrastructure: SCOE is equipped with modern laboratories, computer centers, and research facilities, providing students with the tools they need to gain practical experience. The institution’s infrastructure fosters innovation, helping students work on cutting-edge projects and ideas during their B.Tech in Computer Science and Engineering.

Practical Exposure: One of the key benefits of studying at SCOE is the emphasis on practical learning. Students participate in hands-on projects, internships, and industry visits, giving them real-world exposure to how technology is applied in various sectors.

Placement Support: SCOE has a dedicated placement cell that works tirelessly to ensure students secure internships and job offers from top companies. The B.Tech in Computer Science and Engineering program boasts a strong placement record, with top tech companies visiting the campus every year. The highest on-campus placement offer for the academic year 2022-23 was an impressive 22 LPA from Goldman Sachs, reflecting the college’s commitment to student success.

Personal Growth: Beyond academics, SCOE encourages students to participate in extracurricular activities, coding competitions, and tech fests. These activities enhance their learning experience, promote teamwork, and help students build a well-rounded personality that is essential in today’s competitive job market.

What Makes SCOE Stand Out?

With so many computer science engineering colleges to choose from, why should you consider SCOE for your B.Tech in Computer Science and Engineering? Here are a few factors that make SCOE a top choice for students:

Experienced Faculty: SCOE prides itself on having a team of highly qualified and experienced faculty members. The faculty’s approach to teaching is both theoretical and practical, ensuring students are equipped to tackle real-world challenges.

Strong Industry Connections: The college maintains strong relationships with leading tech companies, ensuring that students have access to internship opportunities and campus recruitment drives. This gives SCOE graduates a competitive edge in the job market.

Holistic Development: SCOE believes in the holistic development of students. In addition to academic learning, the college offers opportunities for personal growth through various student clubs, sports activities, and cultural events.

Supportive Learning Environment: SCOE provides a nurturing environment where students can focus on their academic and personal growth. The campus is equipped with modern facilities, including spacious classrooms, labs, a library, and a recreation center.

Career Opportunities After B.Tech in Computer Science and Engineering from SCOE

Graduates with a B.Tech in Computer Science and Engineering from SCOE are well-prepared to take on various roles in the tech industry. Some of the most common career paths for CSE graduates include:

Software Engineer: Developing software applications, web development, and mobile app development are some of the key responsibilities of software engineers. This role requires strong programming skills and a deep understanding of software design.

Data Scientist: With the rise of big data, data scientists are in high demand. CSE graduates with knowledge of data science can work on data analysis, machine learning models, and predictive analytics.

AI Engineer: Artificial Intelligence is revolutionizing various industries, and AI engineers are at the forefront of this change. SCOE’s curriculum includes AI and Machine Learning, preparing students for roles in this cutting-edge field.

System Administrator: Maintaining and managing computer systems and networks is a crucial role in any organization. CSE graduates can work as system administrators, ensuring the smooth functioning of IT infrastructure.

Cybersecurity Specialist: With the growing threat of cyberattacks, cybersecurity specialists are essential in protecting an organization’s digital assets. CSE graduates can pursue careers in cybersecurity, safeguarding sensitive information from hackers.

Conclusion: Why B.Tech in Computer Science and Engineering at SCOE is the Right Choice

Choosing the right college is crucial for a successful career in B.Tech in Computer Science and Engineering. Saraswati College of Engineering (SCOE) stands out as one of the best computer science engineering colleges in Navi Mumbai. With its industry-aligned curriculum, state-of-the-art infrastructure, and excellent placement record, SCOE offers students the perfect environment to build a successful career in computer science.

Whether you're interested in AI, data science, software development, or any other field in computer science, SCOE provides the knowledge, skills, and opportunities you need to succeed. With a strong focus on hands-on learning and personal growth, SCOE ensures that students graduate not only as engineers but as professionals ready to take on the challenges of the tech world.

If you're ready to embark on an exciting journey in the world of technology, consider pursuing your B.Tech in Computer Science and Engineering at SCOE—a college where your future takes shape.

[chimerarachnid]

The Sun creates enormous sound waves through its constant churning of plasma and fusion reactions. These waves are essentially pressure oscillations that travel through the Sun's plasma. Scientists call these oscillations "solar oscillations" or "helioseismic waves."

The "sound" these oscillations would make, if we could hear them, would be far below the range of human hearing - around 3 mHz (millihertz), or about 0.003 Hz. For comparison, humans generally hear between 20 Hz and 20,000 Hz.

The reason we can't hear these sounds on Earth is simple: sound waves need a medium to travel through (like air or water), and space is essentially a vacuum. There's no medium for the sound to travel from the Sun to Earth.

However, scientists have found ways to "listen" to the Sun:

NASA and other space agencies have converted the Sun's vibrations and electromagnetic variations into audible frequencies. This process is called "sonification" - it's not actual sound, but rather data converted into sound we can hear.

These solar "sounds" often come out as eerie humming or pulsing noises. The Sun essentially "rings" like a bell, but at frequencies millions of times deeper than we can hear.

The study of these solar oscillations (helioseismology) is actually quite important - it helps scientists understand the Sun's internal structure and dynamics, much like how seismology helps us understand Earth's interior.

I watched a video on sonification with astrophysicist and data sonification expert Kimberly Arcand the other day via StarTalk. It's over an hour long but worth the watch! They also mention Wanda Díaz-Merced, a blind astronomer who pioneered the use of sonification to study visual data! https://www.youtube.com/watch?v=sSl3bHuls80

[nearlearn6]

Looking for a reliable platform to kickstart or advance your tech career? This infographic highlights the key reasons why Nearlearn is a trusted name in the EdTech industry. From industry-focused courses and expert trainers to hands-on learning, flexible formats, and strong placement support — Nearlearn is helping learners transform their careers with confidence.

Whether you're a student, a working professional, or someone looking to switch fields, Nearlearn offers a learning path tailored just for you.

Explore the core features that make Nearlearn a go-to destination for AI, Machine Learning, Python, and other in-demand tech skills.

Checkout the nearlearn website:https://nearlearn.com/courses/ai-and-machine-learning/machine-learning-with-python-training

[dimple755]

Bharat Business Award 2024

Digital CourseAI

Digital CourseAI wins the well-deserved recognition of the Bharat Business Awards 2024 for Best Online Course Platform. Mr. Ashneer Grover, co-founder of BharatPe and a well-known figure from Shark Tank India, gave this prestigious honour. The award serves as proof of the Digital CourseAI’s continuous effort for innovation, creativity, and excellence in various digital educational skills like a Diploma in digital marketing, advanced data science courses, advanced UI/UX courses, and stock market courses.

Digital CourseAI is more than just an online learning institution. we are aimed at transforming the lives of students through quality education.

One of the biggest challenges students face today is the accessibility of high-quality education at an affordable cost. Many talented students lack the financial means to pursue advanced studies, which limits their career growth and breaks their dreams. Digital CourseAI’s founders recognized this gap and set out on a mission to make world-class education available to all, irrespective of financial background. Digital CourseAI offers students premium digital marketing courses, advanced data science courses, UI/UX courses, and stock market courses and helps bridge the gap between traditional learning and industry requirements.

By breaking down the barriers to education, Digital CourseAI empowered countless students to become self-sufficient professionals in different fields of digital marketing, data science, UI/UX, and stock marketing.

Digital CourseAI not only set a high standard for learning but also transformed the lives of thousands of students worldwide. This achievement reflects the team’s dedication, vision, and passion for empowering students. With continued innovation and commitment to excellence, Digital CourseAI is determined to shape the future of online education and revolutionize learning experiences across the globe.

Digital CourseAI provides specialized programs such as:

Diploma in Digital Marketing

Advanced-Data Science Courses

Advanced UI/UX Courses

Stock Market Courses

These courses are designed by industry experts, ensuring students receive top-notch knowledge and hands-on experience.

In today’s world, where digital skills define career success, Digital CourseAI is making a real difference. With world-class mentors, an innovative curriculum, and strong industry partnerships, it is building the way for the next generation of professionals. The Bharat Business Award 2024 is just another milestone in its journey towards educational excellence and global impact.

As the platform continues to grow and evolve, one thing is certain:

[reasonsforhope]

If you're feeling anxious or depressed about the climate and want to do something to help right now, from your bed, for free...

Start helping with citizen science projects

What's a citizen science project? Basically, it's crowdsourced science. In this case, crowdsourced climate science, that you can help with!

You don't need qualifications or any training besides the slideshow at the start of a project. There are a lot of things that humans can do way better than machines can, even with only minimal training, that are vital to science - especially digitizing records and building searchable databases

Like labeling trees in aerial photos so that scientists have better datasets to use for restoration.

Or counting cells in fossilized plants to track the impacts of climate change.

Or digitizing old atmospheric data to help scientists track the warming effects of El Niño.

Or counting penguins to help scientists better protect them.

Those are all on one of the most prominent citizen science platforms, called Zooniverse, but there are a ton of others, too.

Oh, and btw, you don't have to worry about messing up, because several people see each image. Studies show that if you pool the opinions of however many regular people (different by field), it matches the accuracy rate of a trained scientist in the field.

--

I spent a lot of time doing this when I was really badly injured and housebound, and it was so good for me to be able to HELP and DO SOMETHING, even when I was in too much pain to leave my bed. So if you are chronically ill/disabled/for whatever reason can't participate or volunteer for things in person, I highly highly recommend.

Next time you wish you could do something - anything - to help

Remember that actually, you can. And help with some science.

[justposting1]

Top AI Tools to Start Your Training in 2024

Empower Your AI Journey with Beginner-Friendly Platforms Like TensorFlow, PyTorch, and Google Colab The rapid advancements in artificial intelligence (AI) have transformed the way we work, live, and learn. For aspiring AI enthusiasts, diving into this exciting field requires a combination of theoretical understanding and hands-on experience. Fortunately, the right tools can make the learning…

[chandantripathi889]

Top Data Science and AI Platforms in 2024: Revolutionizing Innovation and Decision-Making

Introduction: The Role of Data and AI in 2024

In 2024, data drives decisions while artificial intelligence (AI) drives innovation. Choosing the right platform to harness the power of data and AI is critical for staying competitive. Both companies and professionals are seeking platforms that support seamless data science projects and advanced AI model development.

This article explores the top data science and AI platforms of 2024, with a special focus on Manipal AI Platforms, a rising star in the tech world.

Why Choose Data Science and AI Platforms?

Before delving into specific platforms, it’s important to understand why these tools have become essential in today's business landscape:

Accelerate Decision-Making: Data science platforms offer actionable insights, enabling faster and more informed decisions.

Automation and Efficiency: AI platforms automate routine tasks, freeing businesses to focus on more strategic issues.

Innovation Hub: Many platforms allow users to experiment with cutting-edge AI models, fostering continuous innovation.

Image alt tag - AI platforms

Reference - https://www.fotor.com/blog/ai-platform/ 

Top Data Science and AI Platforms in 2024

1. Manipal AI Platforms

Manipal AI Platforms bridge the gap between education and industry needs, offering tools for both novices and experienced data scientists.

Key Features:

Ease of Use: User-friendly interfaces make the platform accessible to users of all experience levels.

Scalability: Whether you're a startup or a large enterprise, the platform offers solutions that grow with your business.

Industry Integration: The platform seamlessly integrates with industry-specific tools, making it ideal for projects in healthcare, finance, and more.

Ease of Use - User-friendly dashboards for all experience levels.

Scalability - Tailored solutions for businesses of any size.

Industry-Specific Tools - Supports real-world business challenges in industries like healthcare and finance.

2. IBM Watson Studio

IBM Watson Studio is a powerful platform for operationalizing AI at scale.

Key Features:

Customizable AI Models: Users can build their own AI models or utilize pre-built ones for quick deployment.

Data Governance: Strong focus on data privacy and security, making it ideal for industries handling sensitive data like finance and healthcare.

3. Google Cloud AI Platform

Google Cloud AI Platform offers a comprehensive suite of AI and machine learning services.

Key Features:

Collaboration and Flexibility: Seamless collaboration with shared datasets and models.

Powerful APIs: Enables developers to easily integrate advanced AI capabilities into applications.

4. Microsoft Azure AI

Microsoft Azure AI is well-known for its extensive range of AI tools.

Key Features:

AI for Every Developer: Tools for developers at all levels to create, train, and deploy AI models.

Seamless Integration: Part of the Azure ecosystem, integrating effortlessly with Microsoft services like Azure DevOps and Teams.

5. Amazon SageMaker

Amazon SageMaker is a fully managed platform that allows developers and data scientists to quickly build, train, and deploy machine learning models.

Key Features:

Comprehensive Machine Learning: Offers everything from data labeling to model monitoring.

Cost-Efficiency: Robust infrastructure that allows businesses to scale AI operations while maintaining cost-efficiency.

Future Trends in Data Science and AI

As we move further into 2024, several trends are shaping the future of data science and AI:

Explainable AI (XAI): Increasing demand for transparency and explainability in AI systems.

AI for Sustainability: AI will play a major role in solving environmental challenges, focusing on energy efficiency, waste reduction, and carbon footprint management.

AI and Data Ethics: The importance of ethical AI usage, particularly regarding data privacy, will remain a key discussion point.

Conclusion: Which Platform Should You Choose?

Selecting the right platform depends on your unique requirements:

Manipal AI Platforms: Ideal for scaling and industry-specific tools.

IBM Watson Studio: Known for strong security and data governance.

Google Cloud AI: Best for collaboration and flexibility.

Microsoft Azure AI: Great for seamless integration with Microsoft tools.

Amazon SageMaker: Perfect for businesses looking for comprehensive, scalable AI solutions.

As AI and data science continue to revolutionize industries, platforms like Manipal AI Platforms are setting new benchmarks. Their industry-specific tools and accessibility are helping professionals succeed in this fast-evolving space.

For more information on these cutting-edge platforms, visit IIT Roorkee.

[fastinfoclassblog]

Best Platform for Data Science Course

Let's explore the best online platforms for data science course. Let’s know about the best platforms and their offerings to learn data science.

[rajaniesh]

Unveiling the Power of Delta Lake in Microsoft Fabric

Discover how Microsoft Fabric and Delta Lake can revolutionize your data management and analytics. Learn to optimize data ingestion with Spark and unlock the full potential of your data for smarter decision-making.

In today’s digital era, data is the new gold. Companies are constantly searching for ways to efficiently manage and analyze vast amounts of information to drive decision-making and innovation. However, with the growing volume and variety of data, traditional data processing methods often fall short. This is where Microsoft Fabric, Apache Spark and Delta Lake come into play. These powerful…