Best Free LinkedIn Learning online courses for Data Science

Data scientists have been in demand for a long time now and this demand doesn’t seem to be coming down anytime soon in the future. Companies need data scientists to manage and interpret their data to solve their complex problems.

Important: LinkedIn Learning currently offers a 30-days free trial (which can be canceled anytime, no questions asked) that gives new users access to all the course library, certificates, LinkedIn Premium, and CPE credits! So don’t miss out!

Harvard Business Review termed Data Scientist as the sexiest job of the 21st century. If you want to get hired for this sexy job, you need to learn data science. Data Science is a multidisciplinary field and is definitely not an easy subject to master. It requires a sound knowledge of maths, computer science, and business.

Thanks to the Internet, now it’s very easy to learn new skills and complete any course from home. Though there are tons of choices when it comes to selecting a platform for learning data science, the world’s biggest professional network LinkedIn Learning is my favorite.

It’s entirely free to watch these courses as everyone will get a 30-day free trial that can be canceled any time within 30 days, no questions asked. I highly recommend you to use this benefit. After completing all these courses there will be a high chance to get a job as a Junior Data Scientist.

Here is a list of the Best LinkedIn Learning online courses for Data Science.

Data Science Foundations: Fundamentals Course

This course provides an overview of data science and why it’s the fastest growing and most rewarding career. Beginners can also opt to learn this course as it doesn’t cover the technical aspects of data science. Data Science Foundations: Fundamentals course mainly covers the skills, vocabulary, tools, techniques, and jobs of data science.

By the end of this course, you will learn how data science can help you make your work more efficient by helping you make better decisions after going through deep insights. I recommend this course to everyone who is a beginner or intermediate in the field of data science and desires to be a data scientist in the future.

Data Science Foundations Fundamentals

Benefits of this course to the learner:

  • It provides an easy and non-technical overview of the data science
  • You will learn about the tools and techniques of data science
  • You’ll know about the primary practices of data science like gathering and analyzing data, developing rules for categorization and decision making, and drawing insights.
  • It’ll tell you about the relationship of data science with artificial intelligence and machine learning.

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Introduction To Data Science Course

This course is created by Madecraft and instructed by Lavanya Vijayan. Lavanya is a python trainer and data scientist. In this course, you will see her sharing her knowledge of data science and its differences from other disciplines related to information. This course will give you a proper introduction to the workflow of data science and its toolsets.

Introduction to data science course will give you an opportunity to learn the practical techniques of data science. Once you’re finished with this course, you will have all the knowledge and skills that companies ask for when hiring for a data scientist position. I myself enjoyed acquiring knowledge from Lavanya Vijayan about data science and now it’s your turn to get introduced to this amazing field through this course.

Introduction to Data Science

Benefits of this course to the learner:

  • Learn the basics of data science
  • The learner will know how data science and other information focused fields are different from each other
  • You will get to know about the workflow of data science
  • You will be introduced to the toolset of data science like programming languages, specialized libraries, and the Jupyter notebook.
  • The learner will learn about the practical techniques of data science like exploratory data analysis, data visualization, and data cleaning.
  • You will know about sampling, testing, and classification.

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Data Analytics For Students Course

This course is specially designed for students who want to make a career in business or data science. It doesn’t only tell you about the importance of data for a business but also helps you in building your analytical skills.

This course will help you learn about the basics of analytics and how it affects the daily routine of a business. You will also get an introduction to the tools of analytics. There are stories included in the course that really helped me learn more about data science in an easy way.

Data Analytics for Students

Benefits of this course to the learner:

  • Students get to learn a new skill for free
  • You will learn the basics of analytics
  • Introduction to tools used in analytics
  • This course prepares you for a data science and business career

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Learning Data Science: Understanding the Basics Course

Not only the data scientists but the people who work with the teams of data scientists also make a whole lot of money. So if you’re not looking to be a full-time data scientist, this course is perfect for you. It tells you about the basics of data science that will be useful when you work with data scientists.

This course includes all the concepts you need to learn to understand data science and use it whenever necessary to make better decisions when leading your organization. The instructor of this course Doug Rose is a business coach and speaks the language of data science. I personally like his teaching style and you’ll love him too.

Learning Data Science Understanding the Basics

Benefits of this course to the learner:

  • This course prepares you to become a manager or associate in the field of data science
  • Perfect for the students who don’t want to be a full-time data scientist but still want to work around them
  • This course introduces you to the concepts, tools, and techniques of data science.
  • An expert in the field of data science teaching the course

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Python For Data Science Essential Training Part 1 Course

This course is a very popular course on LinkedIn Learning among learners who wants to become a data scientist in the future. Earlier, python for data science essential training was available in just one part but now it has been expanded to two parts. If you want to learn data science with python, this is the best course on LinkedIn Learning.

This course will take you through a practical data science project that will help you learn the working of data science in a practical manner. The instructor of this course, Lillian Pierson will introduce you to the different techniques that are necessary to know for every data scientist and come in handy when performing a data science project.

Python for Data Science Essential Training Part 1

Benefits of this course to the learner:

  • This course will give you basic coding training
  • Step by step explanation of a practical data science project
  • Introduction to techniques to clean, transform, reformat, describe raw data, remove outliers, generate visualization, and perform simple data analysis.
  • You will learn to use the Plotly library
  • You will be introduced to data professions

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Python Data Science Mistakes To Avoid Course

Mistakes are common. Everybody makes mistakes whether they are a beginner or master of data science. This course will tell you about the most common mistakes that every data scientist makes so that you can avoid them and save your time. You will learn about the mistakes that data scientists make during coding practices and while working on data science projects.

By the time you finish this course, you will be able to avoid common mistakes that other data scientists make and this will really help you improve your productivity. This course is also instructed by Lavanya Vijayan who is an expert in the field of data science.

Python Data Science Mistakes to Avoid

Benefits of this course to the learner:

  • Learn from an expert data scientist Lavanya Vijayan
  • You will learn to avoid common mistakes in coding practices
  • You will be able to avoid mistakes in structuring code
  • Learn to avoid mistakes in handling data
  • You will know how to avoid mistakes in machine learning

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Learning Data Analytics Course

Every data scientist needs to learn analytics because he has to deal with it at some point in his career. This course teaches you the basics of analytics and reporting. The instructor of this course is Robin Hunt and you will see her explaining data analytics and telling you about what data analysts do.

This course has nine different modules excluding the introduction and conclusion. So you can say that it is filled with a lot of information about data analytics. In my opinion, it is the best course to learn data analytics, and if you’re serious about your data science career, you should opt for this course right now.

Learning Data Analytics

Benefits of this course to the learner:

  • Learn the fundamentals of data understanding
  • You will understand the key elements when starting data analysis
  • This course discovers the basic mistakes that people make with data projects
  • Learn to build pivot charts with slicers
  • You will know a number of excel tips and tricks that data analysts use

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Learning Data Visualization Course

Don’t know about data visualization? Don’t worry, I will give you a brief introduction about it, and tell you why you need to learn it to become a successful data scientist.

Data visualization makes the use of illustrations to make the complex simple. By using data visualization you can make the invisible data visible and then using your data science tactics, you can analyze that data and make wise decisions.

If you’ve got a big idea in your mind and want to pass it to an audience, data visualization all you need to know. By the end of this course, you will be able to craft your story using data visualization and will have a chance to impress your audience with your idea.

Learning Data Visualization

Benefits of this course to the learner:

  • Learn data visualization from the CEO and founder of a data visualization agency
  • You will learn to craft your story using the best visual model and details
  • There is a lot to learn in the visual display section
  • You will know how to think interactively when using data visualization to pass your idea to your audience

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GitHub For Data Scientists Course

Companies tend to hire data scientists with more and more skills. This course will teach you a skill that is rapidly becoming a necessary skill for data scientists. This course will teach you to use GitHub and how you can get the most out of it. You will learn how you can find software and connect with an engaged community on GitHub. You will learn how GitHub works, what’s its key terminology, and how it collaborates with data science projects.

After finishing this course, you will be able to create a very strong data science portfolio using GitHub. There is a lot to learn about GitHub in this course for data scientists. So if you are a data science aspirant and want to add a skill to your resume, this course is for you.

GitHub for Data Scientists

Benefits of this course to the learner:

  • You will learn about GitHub from scratch
  • You will know how to create and clone the repository in GitHub
  • Learn to resolve common merge issues
  • This course will teach you how you can create a powerful portfolio for the position of data scientist using GitHub

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Data Science Foundations: Data Assessment for Predictive Modeling Course

I think every new and aspiring data scientist needs to go through this course. This course teaches you a systematic approach that you should use when going through the data understanding phase for predictive modeling. The instructor of this course Keith McCormick teaches you about the guidelines, principles, and tools required to properly assess data sets.

This course will teach you to verify your data quality and then how to make the transition to the next phase. For enhancing your knowledge and easier learning, this course includes case studies as well. Data modeling is a vital phase of successful data science projects and requires the most training but after completing this course you will be able to easily assess data for predictive modeling.

Data Assessment for Predictive Modeling

Benefits of this course to the learner:

  • Learn what is data assessment
  • You will know how to collect initial data
  • Demo, challenge, and solution for interactive learning
  • You will explore the data tips and tricks
  • Learn to make the transition to data preparation

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Python For Data Visualization Course

I know how important data visualization is for data scientists and that’s why I am recommending this course to you. Data visualization helps you communicate your insights to non-technical work colleagues. This course teaches you to use the libraries of Python that are specifically built for data visualization.

It will teach you to build accurate charts and graphs by using the easy to use programming language, Python. You will discover the Pandas and Matplotlib libraries. This course is created by the award-winning learning content company Madecraft and the instructor of this course is a recognized Python instructor and data scientist, Michael Galarnyk.

Python for Data Visualization

Benefits of this course to the learner:

  • This course teaches you data visualization which is really important for data scientists.
  • You don’t need to be an expert designer to learn this course
  • You will learn data visualization in Python which is a very popular and easy to use programming language
  • You will know everything about the Pandas and Matplotlib libraries

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Data Science & Analytics Career Paths & Certifications: First Steps Course

If you are interested in learning the history and growth of data science and related fields over the years, this course is for you. In this course, the professor of information science and technology at Penn State, Jungwoo Ryoo takes you on a trip to the marketplaces of data science and its subfields.

You will learn about the five primary skill areas and five major career opportunities for data scientists. He will also tell you about the six leading certifications available and the importance of professional development and ethics.

Data Science and Analytics Career Paths and Certifications First Steps

Benefits of this course to the learner:

  • The learner will know about the history and fundamentals of data science
  • Learn about the data science marketplace and its importance
  • You will learn about the skills required for a data science and analytics career
  • This course will tell you everything you need to know about the six top certifications available

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Data Science Foundations: Data Mining

Data mining is the basic foundation of data science. It helps you collect, search, and filter raw data to get clean data. If you know data mining, you will get a solid beginning to your data science projects and that’s what makes this course important for data scientists.

This course provides all the information you need to use the tools and techniques of data mining. Data Science Foundations: Data Mining course offers specific task-based lessons to practice common data mining techniques so that you can understand data mining from its core. If you want to obtain a new skill and experience in data mining, you surely need to complete this course.

Data Mining

Benefits of this course to the learner:

  • Learn data mining from scratch
  • Practice the common data mining techniques
  • Learn to use the tools and techniques of data mining

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Conclusions

I hope that you find this article useful. I checked out all these courses by myself to provide you with a better insight on the best LinkedIn Learning online courses for data science. Data science is definitely a high earning skill and in order to be an expert in this field, you need to learn it from the best and LinkedIn Learning courses are the best.

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