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10 Best Data Analysis Courses & Tutorials of 2020

Data Analysis Courses

With multiple Data Analysis Courses & Certification available, it’s quite difficult for students to find the best Data Analysis Course for their needs. Often we’re asked by students if there is a single course that fits all use-cases. The answer is YES. You can enrol in any popular Data Analysis Courses & Certification mentioned below.

Depending on your use case, you can choose the one that best suits your needs.

Our focus with this article is to highlight the best and most popular Data Analysis Courses in their respective categories.

1. Advanced Excel Formulas and Functions (Udemy)

Duration: 9-10 hours

Rating: 4.6 out of 5

The main skill in becoming a data analyst is MS Excel, and Udemy is the perfect way to increase your Excel awareness. If you just start with Excel or have some experience, this course will provide you with all you need to master Excel. In this course, you will learn specifically about advanced Excel formulas and functions that can assist you in turning a simple Excel spreadsheet tool into a complex and effective tool for study. The course contains a variety of video tutorials, practical exercises, conceptual explanations and more, so that the strong and useful formulas can be grasped.

Key Highlights:

  • Offer a wide variety of subjects throughout the course, including Lookup features, statistical features, array formulation, logical operators, text functions, etc.
  • One of the best online Excel courses to teach you how to write robust, elegant formulas and functions from scratch
  • Understand how to add Excel Lookup, Index, and Match functions to datasets from multiple sources, and how to put in real-time API data directly to Excel.
  • Know how to develop dynamic dashboards for quick filtering, display and analysis of your data

You can Sign up Here

2. Complete Data Science Bootcamp (Udemy)

Duration: 3 months, 4-5 hours/week

Rating: 4.5 out of 5

This course concentrates on teaching you all that you’ll have to learn to be a data scientist. You will learn many different concepts such as data analysis, data science, mathematics, machine learning, data visualization and much more during the course. You can also learn more about sophisticated algorithms, tools and approaches used by data scientists. The course is planned with 365 careers so that you learn from some of the best teachers with years of experience in the field of data science teaching. And once you complete the course, you will receive an Udemy certificate of completion.

Key Highlights:

  • Help you to understand the mathematics behind machine learning and how NumPy and Statsmodels create machine learning algorithms in Python
  • Master the most challenging data science skills like NumPy Python programming, statistical analysis, Tableau, Statistical model machine learning and science learning.
  • Try to develop machine learning with underfitting, overfitting, training, testing, and validation and to improve performance by hyperparameters
  • Discover how you can use cutting-edge deep learning frameworks, including Google’s Tensor Flow, and pre-processing data

You can Sign up Here

3. Learn Python for Data Analysis and Visualization (Udemy)

Duration: 1 month, 5-6 hours/week

Rating: 4.3 out of 5

The Udemy course gives you the ability you need to learn Python and efficiently uses it to interpret and visualize data. Python is invaluable know-how for an analysis. With this course, you will have a good understanding of how Python programming can be used and how it can be used for data analysis with code modules and libraries. The course is designed by the professional data scientist Jose Portilla who has trained more than 30,000 people worldwide. With his expertise and knowledge, he will help you get real-life experience with Python.

Key Highlights:

  • Learn how to use matplotlib and seaborn libraries to create a wonderful representation of data required for the analysis of data.
  • If you have any questions about the content of a course, contact your professor or a team of experts
  • Learn and know how arrays with NumPy and Python are generated and managed, and how pandas are used to build and analyze data sets
  • Including over 100 lectures, 20 hours information and hundreds of Python code notebook examples

You can Sign up Here

4. Learn Data Analysis from Beginning (Coursera)

Duration: Self-paced

Rating: 4.7 out of 5

Coursera offers a list of courses, specialty programs and master’s programs in data science, regardless of whether you want to obtain a diploma or a master’s degree in data analysis. Best of all, these programmes are delivered by world-leading universities like Harvard, MIT, Columbia, etc. The best part of this programme. In addition, there are several courses with trainers’ and live courses, meaning that during the session you will get in direct contact with your trainer. You will be highly equipped with all the skills needed to become a data analyst after you have completed these courses or programs.

Key Highlights:

  • Available a range of practical projects with each course that are established after the course has been completed
  • A list of thorough courses, classes that offer the skills necessary to be a data analyst
  • Get to know various data science aspects such as algorithms for machine learning, MS Excel, data analysis, etc.
  • After the course with final assignments, earn a completion certificate
  • Contains practical exercises, video tutorials, instruction for students, quizzes, etc.

You can Sign up Here

5. Data Analysis with Pandas and Python (Udemy)

Duration: 1 month, 4-5 hours/week

Rating: 4.6 out of 5

This extensive course will teach you how to use Pandas with Python to analyze data. In this course, the popular pandas’ library is introduced which is based on the language of programming in Python. The pandas library lets you learn how to evaluate, arrange, sort, filter, pivot, add, clean up and measure data sets. Boris Paskhaver, a software developer and qualified individuals and expert in using Pandas for data analytics, developed this course . The course includes: You will receive a certificate of completion, which can be shared with your LinkedIn profile or employers, after the successful completion of the course with the specified tasks.

Key Highlights:

  • Address a variety of methods, attributes, features and functions included in the library of pandas
  • Understand how a multitude of data operations can be carried out with grouping, pivoting, joining or more in Python ‘s popular Pandas library
  • 19 hours of video lectures are provided in order to better understand Pandas and Python data analyzes
  • Using the powerful Pandas library to become a data analyst.
  • Divide into different datasets – short and large, breakable and clean, to demonstrate how flexible and effective the package is.

You can Sign up Here

6. College Data Analysis Courses (edX)

Duration: Self-paced

Rating: 4.5 out of 5

edX provides a great e-learning platform for users to learn a range of topics and fields. This list of data analytics courses helps you learn everything you need to become a professional data analyst. The lessons are divided into various groups, such as data science, artificial intelligence, python, excel, machine learning, and many others. More interestingly, they are all delivered by top universities, institutions such as MIT, Harvard, Microsoft , IBM, etc. In addition, all courses are structured to prevent users from facing problems during learning.

Key Highlights:

  • Contact your teacher with live tutorials to address your concerns or to deeply understand a topic.
  • Pick a good course that meets your needs and provide tools for you to become a data analyst
  • Covers different data analysis topics and subjects, like machine learning, Excel foundations, Python programming, etc.
  • Register free of charge for 30 days on all courses without any deadlines for free learning in your comfort zone
  • Available in several videos, comprehensive learning material, graded activities, quizzes and practice tests to ensure the subjects are clearly prepared

You can Sign up Here

7. Data Analysis Courses and Training (LinkedIn Learning by Lynda)

Duration: Self-paced

Rating: 4.5 out of 5

LinkedIn Learning by Lynda provides a list of multiple data analysis courses and training for those confused about where to start their data analysis learning journey. The list mentions the courses which best fit your needs, such as Learning DataAnalytics, SQL: Data Reporting and Analysis, Python for Data Science Essential Training, Excel Data Management and Analysis, etc. Through these courses and training sessions, you can develop your current data analysis skills and get a completion certificate for all courses you choose.

Key Highlights:

  • Find out about formulas and functions for Excel sheets and how data sets can be handled and analyzed by any organization
  • A list of comprehensive data analysis courses focusing on various aspects to assist you as a professional data analyst
  • Learn about algorithms for computer analysis, data science, Pandas and NumPy python programming, data reporting SQL and many more.
  • 10 days free trial at all times and freedom to study at your own pace without any deadlines
  • Get continual assistance and support from a professional team to assist you to resolve questions about the course

You can Sign up Here

8. SQL for Data Analysis (Udemy)

Duration: 4-5 hours

Rating: 4.1 out of 5

People interested in studying SQL data analysis query language can take assistance from the course focused entirely on the different aspects of SQL. This course teaches you how to build dashboards for monitoring and evaluating progress on team goals, gather data for use in investor pitch decks by the performance team, and how to make decisions based on details. The course is planned by Udemy’s qualified teachers Peter Sefton and David Kim. They help you throughout the course and resolve your questions concerning the contents of the course.

Key Highlights:

  • Using tests and quizzes in the course to allow you to evaluate the lessons you have learned
  • A detailed class to teach you SQL so you can use it for Data Analysis easily
  • Take questions about a particular business and learn raw skills so you can build personalized queries
  • Gain your completion certificate after the course has been completed
  • Join the board where the lecturers will contact you directly to answer your questions.

You can Sign up Here

9. Introduction to Data Analysis (Udacity)

Duration: 6 weeks

Rating: 4.5 out of 5

It is an beginner course that will guide you through the basic concepts of data analysis. In this lesson, you will be accompanied through the entire process of analysis, including the formatting of your data to solve problems, communicate your findings and certain other concepts. You can learn how to write simpler, concise, faster code for Python libraries like NumPy , Pandas, and Matplotlib. This course is part of the nano-graduate curriculum – system introduction, which means you can participate in the nano-graduate programme, after completing this course.

Key Highlights:

  • Know the features that can be applied to single dimension data and how NumPy and Pandas can be used in order to facilitate data analysis
  • Learn how to analyze data , find trends and understand it, draw conclusions and make decision-making
  • Learn about the data analysis process, how to ask questions, forecast and some other basic data analysis concepts
  • Get easy access to rich learning material so you can easily learn without charging any fees
  • Built by an experienced teacher from Udacity, with years of experience for different people.

You can Sign up Here

10. Data Analysis and Visualization (Udemy)

Duration: 9-10 hours

Rating: 4.4 out of 5

This course is designed by TakenMind in Bootcamp to help you learn how state-of-the-art companies handle data bytes to enhance their business growth. It is a starting course that will help you understand the following principles of data analysis, such as python fundamentals, data analysis pandas, data visualization matplotlib, etc. With these concepts, you can move your career in the field of data analysis. During the course, you will be introduced to the setup and installation of the study kit, NumPy, Pandas data manipulation and many other subjects. Once the course has been completed, you can also obtain a certificate of completion to help show employers your skills.

Key Highlights:

  • Get practical experience using the study kit to manage, visualize and manipulate data
  • Developed by TakenMind’s professional teacher who has provided data analysis training for over ten years.
  • A basic course aimed at teaching you how to display data with a study kit a
  • Learn how Matplotlib and Seaborn data is visualized and how Pandas library data are manipulated and analyzed

You can Sign up Here

Wrapping Up

That’s the list of 10 Best Data Analysis Courses & Tutorials of 2020 with high-quality content. They are popular and loved by many Data Analyst. Between these courses, you are sure to find what you need to learn to continue your path of Data Analysis.

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