Here are the top 10 free courses for Data Science in 2022

There’s no need to stress about big data, since understanding it is half the battle. Data science is the answer when it comes to figuring out what you’re looking at. Data science is the process of uncovering hidden patterns in large groups of raw data by combining different algorithms, data & machine learning principles. The demand for these professionals is increasing with organizations setting more stores by their data. A Radiologist is a medical practitioner that specializes in medical imaging. They can use data from a series of images to diagnose a condition. Machine learning algorithms allow them to go beyond the linear takes of manual interpretation and identify an event as it occurs for better accuracy. Data science has never been more promising and the outlook is only getting better. If you want to be successful at it, now isn’t a better time than ever. Here are the top 10 free courses you can take up in 2022 to give yourself an edge.

Top 10 free courses for Data Science

Machine learning (YouTube -FreeCodecamp)

You would be amazed if you knew that this course is developed by a kid. The content and exposure you get here are also unmatched. FreeCodeCamp is a great platform for learning everything about Computer Programming. Topics include machine learning, data structures, and algorithms.

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How to use Python for data science

This course will introduce you to powerful, open-source tools such as Python, Git, Pandas. At the completion of the course, you will be able to work with large datasets and use python tools such as importing data, exploring it, learning from it, analyzing it, and visualizing it.

Course On Decision making – Coursera

PwC has been providing incredible consulting services for a long time, and their data management course is no exception. It’s four weeks long and teaches you all about the tools & skills needed to tackle business data challenges. As a final task, you have the opportunity to solve a simulated business dilemma using some of those skills.

Introduction to data science

This data science course is a great introduction to data science, covering all the important topics in detail. You’ll find out what data science is, how it relates to Python and R, and what people do with it. Sign up today to get started!

Data science Tools

Data science requires the proper tools to be most effective. This free course will teach you about some of these useful tools, including Jupyter Notebooks, RStudio IDE & Watson Studio.

Data science Methodology

One of the major problems people face when using data is that they lack a solid understanding of the questions being asked and how to apply data to a problem. Data science is a complex and multifaceted process and often requires domain knowledge in product research and marketing. That’s why we provide the perfect Introduction to Data Science course for you! The course will teach you the major steps involved in tackling a data science problem.

How to become a data scientist

This course by Dataquest will teach you to become a data scientist. It includes concepts like visualizing data, machine learning, and statistical programming skills that can be used in real-world problems.

Hadoop platform and application framework – Coursera

This data science course is completely free and will teach you the essentials of working with big data. This free 5-week course is perfect if you’re new to Spark or Hadoop. You’ll learn about basic Hadoop architecture, execution environment & the software stack.

Data Science: R Basics

If you’re new to R, then this free course will teach you the basics of how it differs from Excel. We’ll take an overview of its most important features, like its functions and basic data types, but also show you when to use advanced functions like sorting. This course will help you understand data visualization and data wrangling in addition to becoming a skilled data scientist.

High-dimensional data analysis

The course will start with a short introduction to machine learning. From there, you will learn how to apply your knowledge of ML to high-throughput datasets. The course we offer is designed to help students learn intermediate-level topics. These include factor analysis, and also uncovering factors. You will also get to work with data visualization techniques such as multidimensional scaling plots and more.

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