12 Best Data Analytics Certification for Beginners You Must Know in 2024

Best Data Analytics Certification for Beginners

Are you looking for Best Data Analytics Certification for Beginners?… If yes, then this article is for you. In this article, you will find the 12 best Data Analytics Certifications for Beginners. At the end of this article, you will also find some Free Online Data Analytics Courses.

So give your few minutes to this article and check out these Best Data Analytics Certifications for Beginners.

Now without any further ado, let’s get started-

Best Data Analytics Certification for Beginners

1. Google Data Analytics Professional Certificate– Coursera

Provider-Google
Rating- 4.8/5
Time to Complete- 6 Months (If you spend 10 hours/week)
Best For- Beginners
Programming Language-R Programming

This Google Data Analytics Professional Certificate is one of the most popular best data analytics certification for beginners. There are 8 courses in this program. If you are a beginner and interested in R programming language, then this is the perfect program for you.

Throughout this program, you will learn the fundamentals of Data Analytics and the common challenges of data analysis. You will get to know about Spreadsheet usage in Data Analysis. Data Analysis requires various steps and Data Cleaning is one of the essential steps in data analysis. You will learn about Data Cleaning using SQL.

After analyzing the data, you need to showcase your finding in a visual form. This process is known as Data Visualization. This program will also cover Data Visualization using Tableau.

There is a separate course for R Programming. In this course, you will learn the basics of R programming and how to use R programming in Data Analysis. The last course is the Capstone Project, where you have to work on one Case Study.

These are the 8 courses-

Courses Include-

  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. Share Data Through the Art of Visualization
  7. Data Analysis with R Programming
  8. Google Data Analytics Capstone: Complete a Case Study

Who Should Enroll?

  • Those who are a beginner and want to gain data analytics skills.

Pros-

  • You will earn a Shareable Certificate after completing the program.
  • Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, and Graded Programming Assignments.
  • You will learn the most popular data visualization tool, Tableau.
  • This program will provide access to Google’s network of over 130 different employers that are looking for people with this certificate.

Cons-

  • The first course is very introductory and basic.
  • In the Capstone project, no help will be provided. You have to complete the project by yourself.

Interested to Enroll?

If yes, then check out all details here- Google Data Analytics Professional Certificate

2. Intro to Data Analysis– Udacity

Provider-Udacity
Rating- NA
Time to Complete- 6 Weeks
Best For- Beginners (But knows Python)
Programming Language-Python Programming

This Intro to Data Analysis is a completely free course and a good first step towards understanding the data analysis process.

This is not an advanced-level course but this course tries to cover the essential topics of Data Analytics. In this course, you will learn about Data Wrangling.

Data Wrangling includes data acquisition and data cleaning. You will learn these concepts in detail. There are various quizzes in this course to test your knowledge.

Pandas and Numpy are the two popular libraries for data analysis. You will learn about these two libraries in this course.

There is one project in this course. Because this course is free, that’s why you can’t submit your project for review. But for your understanding and portfolio, you must finish this project. After completing this project, you will understand all the steps involved in data analysis.

Who Should Enroll?

  • Those who are comfortable in Python programming.

Pros-

  • This is a free course and you don’t need to pay any money to learn the Data Analysis fundamentals.
  • You will have one project to add to your portfolio after completing this course.
  • You will learn Pandas and Numpy.

Cons-

  • You will not receive a certificate after completing this course.

Interested to Enroll?

If yes, then start learning- Intro to Data Analysis.

3. Data Analyst with Python– DataCamp

Provider-Datacamp
Rating- NA
Time to Complete- 32 hours
Best For- Beginners
Programming Language-Python Programming

This Data Analyst with Python is a Career Track offered by Datacamp. In this career track, there are 8 courses. This course is good for you if you don’t have previous Python knowledge.

This course will teach you the popular Python libraries-> Pandas, Matplotlib, Numpy, etc. You will get chances to take your Python knowledge to the next level by learning some advanced concepts of Python.

You will also learn Seaborn, a Python library for creating informative and attractive visualizations. This career track also has a skill assessment for you to perform data manipulation.

Statistics knowledge is essential for data analysis and this career track teaches the basics of statistics.

Who Should Enroll?

  • Those who are complete beginners and want to learn data analytics with Python.

Pros-

  • DataCamp has an inbuilt console, where you can code and practice.
  • All the instructors are experienced and work in Top Companies.

Cons-

  • DataCamp doesn’t provide an Accredited Certificate.
  • Datacamp offers only the first chapter of each course for free.

Interested to Enroll?

If yes, then check out the course details here- Data Analyst with Python

4. IBM Data Analyst Professional Certificate– Coursera

Provider-IBM
Rating- 4.7/5
Time to Complete- 11 Months (If you spend 3 hours/week)
Best For- Beginners (But Knows High-school level math)
Programming Language-Python Programming

This IBM Data Analyst Professional Certificate program is another best data analytics certification for beginners. There are 9 courses in this program.

This program is the best alternative to the Google Data Analytics Professional Certificate for those who want to learn Data Analytics with Python Programming.

In this program, you will learn Excel basics for performing basic data analysis tasks of editing, moving, and copying the data files.

For Data visualization, this course teaches Cognos instead of Tableau. For data visualization, Python has a library known as Matplotlib. You will also learn Matplotlib for data visualization.

At the end of this program, there is one capstone project, which you have to complete.

Who Should Enroll?

  • Those who are a beginner and want to gain data analytics skills.
  • And those who are familiar with high school-level math.

Pros-

  • You will earn a Shareable Certificate after completing the program.
  • Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, and Graded Programming Assignments.

Cons-

  • The 5th course, “Python Project for Data Science” is not up to the mark with respect to the course quality and the instructions are not clear.
  • The Python for Data Science and AI course is not a well-sequenced and complete course to learn Python. You need some python textbooks to supplement your learning.

Interested to Enroll?

If yes, then check out all details here- IBM Data Analyst Professional Certificate

5. Excel to MySQL: Analytic Techniques for Business Specialization– Coursera

Provider-Duke University
Rating- 4.6/5
Time to Complete- 7 months
Best For- Beginners
Programming Language-MYSQL

This Excel to MySQL: Analytic Techniques for Business Specialization program is offered by Duke University. There are 5 courses in this program. This program is focused on teaching data analytics techniques for Business tasks.

Throughout this program, you will understand Business Metrics and learn Excel basics for data analysis tasks. Excel is a commonly used tool for performing data analysis operations.

Some advanced topics such as Linear Regression, Central Limit Theorem (CLT), Gaussians, etc are also covered in this program.

For Data Visualization, this program uses Tableau, the most popular tool. The instructor also covers Relational Databases and Big Data concepts.

After all these courses, there is one capstone project which you need to complete.

Who Should Enroll?

  • This is a beginner-level program. No previous experience is needed. Anyone can enroll.

Pros-

  • You will get a Shareable Certificate and Course Certificates upon completion.
  • You will work on a real-world project.
  • Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, and Graded Programming Assignments.

Cons-

  • The second-course “Mastering Data Analysis in Excel” doesn’t cover too much about Excel. This course is more focused on statistics concepts.

Interested to Enroll?

If yes, then check out all details here- Excel to MySQL: Analytic Techniques for Business Specialization

6. Beginner Statistics for Data Analytics- Udemy

Provider-Udemy
Rating- 4.6/5
Time to Complete- 3 hours
Best For- Beginners
Programming Language-NA

This Beginner Statistics for Data Analytics is a beginner-friendly course to learn the fundamentals of statistics for data analysis.

You will learn the statistics basics such as mean, median, and mode. After that, you will learn about Descriptive and Inferential Statistics.

You will also understand Regression Analysis. Standard deviation and Correlation are also covered by the instructor. Excel is used for performing all these operations in this course.

Who Should Enroll?

  • Those who are beginners with no background in statistics. 

Pros-

  • You will get a Certificate of completion.
  • Along with that, you will get 3 downloadable resources and Full lifetime access to the course material.

Cons-

  • The Regression Analysis part is not explained in detail.

Interested to Enroll?

If yes, then check out all details here- Beginner Statistics for Data Analytics

7. The Complete Introduction to Data Analytics with Tableau- Udemy

Provider-Udemy
Rating- 4.4/5
Time to Complete- 7 hours
Best For- Beginners
Programming Language-NA

The Complete Introduction to Data Analytics with Tableau is another data analytics certification course for beginners. This is not a theoretical course. This is a complete practical course where you will work on 5 projects.

The main focus of this course is on Tableau, a data visualization tool. This project is good for your resume because you will work on 5 projects and you can add them to your resume.

The first project analyses the sale of an e-commerce company. The second project is based on survey data where you will look at a company called Green Destinations and why their employees are leaving.

Excel, Google Sheets, and Cloud Servers are also explained by the instructor.

Who Should Enroll?

  • Those who are beginners and want to kickstart their career in Data Analytics.

Pros-

  • You will get a Certificate of completion.
  • Along with that, you will get 32 downloadable resources and Full lifetime access to the course material.

Cons-

  • The last two projects required a Paid version of Tableau Desktop.

Interested to Enroll?

If yes, then check out all details here- The Complete Introduction to Data Analytics with Tableau

8. Data Analysis and Presentation Skills: the PwC Approach Specialization– Coursera

Provider-PwC
Rating- 4.7/5
Time to Complete- 6 months (3 hours/week)
Best For- Beginners
Programming Language-NA

This Data Analysis and Presentation Skills: the PwC Approach Specialization is offered by PwC (Multinational professional services network). There are 5 courses in this program.

In this program, you will understand the Data Analysis Process, tools, and techniques. Excel is used in this program for performing the data analysis process.

For data visualization, this program uses advanced Excel. And for storytelling, you will learn how to use PowerPoint. You will learn various communication styles.

After learning these concepts, there is one Capstone Project, where you have to understand and analyze the business problem.

These are the 5 courses-

Courses Include-

  1. Data-driven Decision Making
  2. Problem Solving with Excel
  3. Data Visualization with Advanced Excel
  4. Effective Business Presentations with Powerpoint
  5. Data Analysis and Presentation Skills: the PwC Approach Final Project

Who Should Enroll?

  1. This is another Specialization Program for Beginners. You don’t need any background knowledge. Anyone can enroll who wants to learn Data analytics.

Pros-

  • You will earn Shareable Specialization and Course Certificates.
  • Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, and Graded Programming Assignments.

Cons-

  • The first course, “Data-driven Decision Making” doesn’t cover concepts in detail. Rather than they focus on promoting PwC.

Interested to Enroll?

If yes, then check out all details here- Data Analysis and Presentation Skills: the PwC Approach Specialization

Now, let’s see some FREE Data Analytics Certification Courses

FREE Data Analytics Certification Courses

9. Intro to Data Analysis– Udacity

Time to Complete6 Weeks
Programming LanguagePython

This Intro to Data Analysis is a completely free and good course to understand the data analysis process. This course will cover the basics of data analysis starting from data collection to showcasing the findings in visual form.

You will also learn about Python libraries Pandas, Numpy, and Matplotlib. This course is free that’s why you will not receive a certificate.

You Should Enroll if-

  • You are comfortable with Python programming.

Interested to Enroll?

If yes, then start learning- Intro to Data Analysis

10. SQL for Data Analysis– Udacity

Time to Complete4 Weeks

This SQL for Data Analysis course is completely free for learning SQL for Data Analysis. This course will teach you the basics of SQL such as SQL Joins, SQL Aggregations, etc.

Data Cleaning is an essential step in Data Analysis. This course will teach how to clean data using SQL. There are various quizzes in this course.

You will also learn advanced SQL Window Functions, SQL Advanced JOINs & Performance Tuning. Overall this is a good course to understand how to perform data analysis using SQL. This course will not provide a certificate of completion.

You Should Enroll if-

  • You have general familiarity working with data in spreadsheets.

Interested to Enroll?

If yes, then start learning- SQL for Data Analysis

11. Data Analysis with R– Udacity

Time to Complete2 months
Programming LanguageR

This Data Analysis with R is an intermediate-level free course to learn data analysis using R programming.

Although this is a free course but covers various topics related to R programming and Data Analysis. The basics of EDA, its importance, and its goals will be covered in this course.

Then you will learn the basics of R programming. This course has problem sets where you have to explore One Variable and Two Variables.

There is one project at the end of this course. In this project, you have to conduct your own exploratory data analysis and create an RMD file.

You can’t submit this project for review because this course is free. But this project will be helpful for your resume.

You Should Enroll if-

  • You have prior knowledge of statistics.

Interested to Enroll?

If yes, then start learning- Data Analysis with R

12. Data Analysis and Visualization– Udacity

Time to Complete16 weeks
Programming LanguageR

This Data Analysis and Visualization is another free course for learning data analysis and visualization. Again this course will not provide a certificate of completion but covers essential topics of data analysis and visualization.

R is used in this course. First, you will learn the R basics. There are some Netflix Interviews added in this course. This course also covers Data Visualization, Logistic Regression, Linear Regression, and Regularization.

You Should Enroll if-

  • You have prior programming experience and are familiar with mathematics (basic linear algebra, calculus, introductory probability).

Interested to Enroll?

If yes, then start learning- Data Analysis and Visualization

And here the list of best data analytics certification for beginners ends.

Comparison of Best Data Analytics Certification for Beginners

S/NCourse NameFree/PaidRatingTime to Complete
1. Google Data Analytics Professional Certificate– CourseraPaid4.8/56 Months (If you spend 10 hours/week)
2.Intro to Data Analysis– UdacityFREENA6 Weeks
3.Data Analyst with Python– DataCampPaidNA62 hours
4.IBM Data Analyst Professional Certificate– CourseraPaid4.7/5 11 Months (If you spend 3 hours/week)
5.Excel to MySQL: Analytic Techniques for Business Specialization– CourseraPaid4.6/57 months
6.Beginner Statistics for Data Analytics– UdemyPaid4.6/53 hours
7.The Complete Introduction to Data Analytics with Tableau– UdemyPaid4.4/5 7 hours
8. Data Analysis and Presentation Skills: the PwC Approach Specialization– CourseraPaid4.7/56 months (3 hours/week)
9.Intro to Data Analysis– UdacityFREENA6 Weeks
10.SQL for Data Analysis– UdacityFREENA4 Weeks
11.Data Analysis with R– UdacityFREENA2 months
12.Data Analysis and Visualization– UdacityFREENA16 Weeks

My Recommendations on Best Data Analytics Certification for Beginners

For Python LearnersIBM Data Analyst Professional Certificate– Coursera
For R LearnersGoogle Data Analytics Professional Certificate– Coursera
Best FREE Course for Python LearnersIntro to Data Analysis– Udacity
Best FREE Course for R LearnersData Analysis with R– Udacity

So, these are the 12 Best Data Analytics Certifications for Beginners. I will keep adding more courses to this list.

Conclusion

I hope these 12 Best Data Analytics Certifications for Beginners will help you to enhance your data analytics skills. If you have any doubts or questions, feel free to ask me in the comment section.

All the Best!

Enjoy Learning!

Thank YOU!

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Though of the Day…

It’s what you learn after you know it all that counts.’

John Wooden

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Written By Aqsa Zafar

Founder of MLTUT, Machine Learning Ph.D. scholar at Dayananda Sagar University. Research on social media depression detection. Create tutorials on ML and data science for diverse applications. Passionate about sharing knowledge through website and social media.

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