Best Data Analyst Certification Courses for 2022


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I was recently asked about data analyst roles and how best to achieve them. I have researched and found online certification courses that can launch your data analyst career.

So that you don’t have to search anymore, I’ve created the list for you. Let’s go.

Click here for the course.

  • Rating: 4.8/5
  • Duration: 6 months (less than 10 hours of study per week)
  • Difficulty: Beginner level

Pace: 100% at your own pace. Learn at your own pace

Provided by Google, this course provides you with the skills in demand for a career in data analysis. It consists of 8 courses:

  1. Foundations: data, data, everywhere
  2. Ask questions to make data-driven decisions
  3. Prepare data for exploration
  4. Process data from dirty to clean
  5. Analyze data to answer questions
  6. Sharing data through the art of visualization
  7. Data analysis with R programming
  8. Google Data Analytics Capstone: Conducting a Case Study

These courses will give you a better understanding of data in general, how to explore data, how to use data to answer specific business-focused questions, as well as a programming level. The course is very popular because it covers the most common job titles: Junior Data Analyst, Junior Data Scientist, Financial Analyst, Operations Analyst, etc.

Click here for the course.

  • Rating: 4.6/5
  • Duration: 11 months (less than 3 hours of study per week)
  • Difficulty: Beginner level
  • Pace: 100% at your own pace. Learn at your own pace

Provided by IBM, this course provides you with the fundamentals of data analysis and a better understanding of data manipulation, analysis techniques, and more. It consists of 8 courses:

  1. Introduction to Data Analysis
  2. Excel basics for data analysis
  3. Data visualization and dashboards with Excel and Cognos
  4. Python for Data Science, AI, and Development
  5. Python project for data science
  6. Databases and SQL for Data Science with Python
  7. Data analysis with Python
  8. Data Visualization with Python
  9. IBM Data Analyst Capstone Project

These courses will get your career as a data analyst off the ground by providing you with the principles and fundamentals of data analysis while allowing you to learn practical skills. You’ll also get project experience and data analysis tools like SQL, Python, and Jupyter Notebooks to help you understand what your day-to-day life as a data analyst will look like.

Click here for the course.

  • Duration: 250+ hours
  • Difficulty: Beginner level
  • Pace: 100% at your own pace. Learn at your own pace

Provided by Edureka, the Data Analyst course increases your knowledge and expertise in the tools and systems frequently used by data analysis professionals. You will then follow an in-depth training on statistics, data analysis with R and Tableau. It consists of 5 courses, each of which has more in-depth modules:

  1. The essentials of statistics for analytics
  2. Data analysis with R certification
  3. Tableau training and certification
  4. Microsoft Power BI training
  5. AWSS3

If you want to know more about the modules, you have the option to download the program. You will learn about the following areas: statistics, exploratory analysis, data visualization, probability, advanced SAS procedures, array, Bayesian inference, regression modeling, and more.

Click here for the course.

  • Programming language: Python
  • Duration: 36 hours
  • Difficulty: Beginner/intermediate level
  • Pace: 100% at your own pace. Learn at your own pace

If you are looking to become a data analyst specializing in Python, this DataCamp course is for you. You will learn how to import, clean, manipulate and visualize data through interactive exercises. It consists of 11 courses:

  1. Introduction to Data Science in Python
  2. Intermediate Python
  3. Data manipulation with Pandas
  4. Join data with pandas
  5. Introduction to Statistics in Python
  6. Introduction to Data Visualization with Seaborn
  7. Data manipulation with Python
  8. Importing and cleaning data with Python
  9. Exploratory Data Analysis in Python
  10. Sampling in Python
  11. Hypothesis testing in Python

You will gain experience working with real datasets to help you implement the skills learned. Many courses overlook the importance of statistics over data, however, this course provides you with that knowledge and allows you to explore it further with sample and hypothesis testing.

Click here for the course.

  • Rating: 4.8/5
  • Duration: 4 months (at the rate of 10 hours of study per week)
  • Difficulty: Beginner level
  • Pace: 100% at your own pace. Learn at your own pace
  • Prerequisites: Python and SQL

Provided by Udacity and in collaboration with Kaggle, this Data Analysis with Python and SQL course helps you advance your current programming skills and improve your skills for working with messy and complex data sets. It consists of 4 sections:

  1. Introduction to Data Analysis
  2. Practical statistics
  3. Data conflict
  4. Data Visualization with Python

You’ll work with real-world projects, knowledge, workspaces, quizzes, and personalized study plans and have progress tracking. You’ll also get technical support from a mentor and personal career advice to help you land the data analyst job you want.

Here are some other data analytics articles that can help you on your journey:

Nisha Arya is a data scientist and freelance technical writer. She is particularly interested in providing data science career advice or data science tutorials and theoretical knowledge. She also wants to explore the different ways that artificial intelligence is/can benefit the longevity of human life. A passionate learner, seeking to expand her technical knowledge and writing skills, while helping to guide others.

Sean N. Ayres