By Prateek Shah, DigitalDefynd.

Twenty-five experts have compiled this list of Best Free Data Analytics Online Tutorials, Course, Training, and Certification available on the Internet for 2020. These include both paid and free resources to assist you in mastering data analytics skills, and these programs are suitable for all caliber learners.

1. Intro to Data Analysis (Udacity)

If you are looking forward to breakthrough into the data science industry, then this course is a great place to take the first step. Throughout the classes, you will gain an in-depth understanding of the process of analysing large datasets. Learn to ask relevant questions and make crucial informed decisions. Work with numerous Python libraries like NumPy, Matplotlib, and Pandas and gain valuable hands-on experience.

Duration: 6 weeks

Rating: 4.5 out of 5

2. Data Science Courses (Alison)

On this e-learning website, you will find a range of diploma courses and certification, focusing on the various aspects of data science and related topics. The introductory level classes are a good choice if you are looking forward to acquainting yourself with the terminologies and fundamental concepts. In contrast, areas like training models, visualisations, mining are some of the go-to options available for experienced individuals.

Duration: Variable

Rating: 4.4 out of 5

3. Lean Analytics Workshop – Alistair Croll and Ben Yoskovitz (Udemy)

Utilising principles of Lean analytics is a great way to optimise your business decisions by focusing on the essential metrics. In this program, the instructor will help you to get the hang of the basics, following which you can explore the sample business models to grasp how they can be mapped to new enterprises. By the end of the endeavour, you will have developed a data-driven ideology and an instinct to know the right moment to move on to a newer phase. You may also want to check out more courses for business analytics certification.

Duration: 2 hours 23 minutes

Rating: 4.3 out of 5

4. Fundamentals Data Analysis & Decision Making Models – Theory (Udemy)

Excel continues to be an indispensable tool for organisations around the world for analysing data and drawing conclusions. This concise tutorial will teach you the marketable skill of handling large datasets and creating dashboards. Along with this, you will also work on forecasting techniques and communicating the results.

Duration: 31 minutes

Rating: 3.7 out of 5

5. Learn Data Analysis using Pandas and Python (Module 2/3) (Udemy)

This program offers a preface to data science and the type of problems that can be dealt with using the Pandas library. Follow the steps of installations and environment setup and learn to import files from numerous sources. After this, you will be ready to prepare, study, filter, and manipulate datasets. The concluding section talks about tips and tricks, such as working with plots and shift functions.

Duration: 1 hour 39 minutes

Rating: 4.2 out of 5

6. Introduction to Data Analysis for Government (Udemy)

Along with the essential concepts, this top-rated tutorial touches upon a lot of overlooked factors. Work with examples based on public sector scenarios and utilise Excel software for the same. Understand how we often get sidetracked due to biases and learn to steer clear of them. Lastly, get a quick look at the differences between unstructured human-readable and structured machine comprehensible data.

Duration: 1 hour 12 minutes

Rating: 4.1 out of 5

Review: Loved the course so much! Interactive instructors, awesome and well educated about what they’re speaking and teaching. But, there’s something missing that was the CSV’s files which we can practice on. So far, I enjoyed the experience more than I was expecting. – Mohamed Galal

7. Introduction to Data Analysis using Excel (edX)

Tech giant Microsoft brings you this month-long comprehensive certification to show you how to leverage the most popular features of Excel for analysing information. Master the skill of creating pivot tables, reports, summarising your findings, and, most essentially, producing relevant insights. Attempt the multiple exercises to practice along the demonstrations presented in the lectures.

Duration: 4 weeks, 2 to 4 hours per week

Rating: 4.4 out of 5

8. Analytics Storytelling for Impact (edX)

If you are well versed in working with Power BI and Excel, then this program will help you to discover strategies to grasp the art of delivering the conclusions obtained from visualisations and analysis with flair. Craft stories that create value for your audience and assess the impact. The mentors also provide advice to adopt best practices for polishing your reports and commanding the room while presenting them.

Duration: 6 weeks, 2 to 4 hours per week

Rating: 4.4 out of 5

9. Ethics and Law in Data and Analytics (edX)

With the growing rate of use of analytics and artificial intelligence in organisations taking legal and ethical aspects into account has become inevitable. Explore frameworks about law and ethics as the course takes encourages you to take a hands-on approach to solve problems. Audit the lectures for free and learn at your own pace.

Duration: 6 weeks, 2 to 3 hours per week

Rating: 4.4 out of 5

10. Analyzing and Visualizing Data with Excel (edX)

As a prerequisite, this course requires you to have experience with the analytical tools of Excel and handling databases or text files. Starting from there, the instructors will take you on a journey where you will pick up competency in importing data from numerous sources, combining them and creating models. The next lectures will move one step forwards and perform analysis and visualisations on the files that you have prepared.

Duration: 6 weeks, 2 to 4 hours per week

Rating: 4.4 out of 5

11. Data Science Research Methods: R Edition (edX)

If you dream of working as a data scientist in a reputed company, then it is vital to acquire the necessary skills that can quickly set you apart. Starting from the foundation of the research process, you will develop the talent of asking relevant questions, architecting strategies for data collection, and achieving contextual results. Further, the lessons discuss the importance of executing steps in sync to get the most out of the analysis procedure.

Duration: 6 weeks, 2 to 3 hours per week

Rating: 4.3 out of 5

These were the 11 Best Free Data Analytics Online Tutorial, Class, Course, Training & Certification. We hope you found what you were looking for. Wish you a Happy Learning!

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