11 Best Data Analyst Online Certification in 2024 You Need to Know

So, you want to become a Data Analyst?… Great Decision. Data Analyst is definitely a good career. And its scope is not going down in the future. But, if you are looking for Data Analyst Online Certification Courses, then your search will end after reading this article. In this article, you will find the 11 Best Data Analyst Online Certification Courses. So give your few minutes and find out the Best Data Analyst Online Certification course.

Course List-

Data Analyst Online Certification

Before we dive into the Data Analyst Online Certifications courses, let’s understand what data analysts do and what skills are required for Data Analysts.

A data analyst is a person who collects the data, cleans that data, analyzes the data, and represents the valuable findings from that data in a visual form.

Data Analyst is a profitable, secure, and most demanding career. But getting a job as a Data Analyst requires some skills. And these skills are-

1. Programming
2. Statistics
3. Mathematics
4. Data Wrangling
5. Data visualization
6. Machine Learning

So, if you have these skills, then you are one step closer to the Data Analyst Job. To learn these skills, there are various resources available. But the most convenient way is the Online Courses.

Choosing the best data analyst online certification is also confusing. That’s why I have selected the 10 best data analyst online certification courses after filtering out thousands of courses.

I have filtered these courses on the following criteria-

Criteria-

1. Rating of these Courses.
2. Coverage of Topics.
3. Engaging trainer and Interesting lectures.
4. Number of Students Benefitted.
5. Good Reviews from various aggregators and forums.

So, without wasting your time, let’s start finding the best certification course for you.

1. Google Data Analytics Professional Certificate– Coursera

provider- Google

Rating- 4.8/5

Time to Complete- 6 Months (If you spend 10 hours/week)

This is one of the most popular Data Analyst Certification programs. In this program, you will gain an understanding of the practices and processes used by a junior or associate data analysts in their day-to-day job and an understanding of data-driven decision-making and how data analysts present findings.

In this course, you will also learn how to prepare data for exploration and how analysts use spreadsheets and SQL with databases and data sets. Then you will learn how to check and clean your data using spreadsheets and SQL as well as how to verify and report your data cleaning results.

This course also covers how to perform complex calculations on your data to complete business objectives. You will learn about Tableau, a data visualization platform that will help you create effective visualizations for your presentations. At the end of this course, you will learn how to use RStudio to apply R to your analysis.

There are 8 courses in this certification program.

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

Extra Benefits-

1. You will earn a Shareable Certificate after completing the Data Science specialization Program.
2. Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

Now, let’s see whether you should enroll in this certification course or not?

Who Should Enroll?

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

Interested to Enroll?

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

2. Become a Data Analyst– Udacity

Provider- UDACITY

Time to Complete- 4 months

This is a Nano-Degree Program by Udacity. In this Nano-Degree Program, you will learn how to manipulate and prepare data for analysis, and create visualizations for data exploration. 

You will learn Practical Statistics, Data Wrangling, and Data Visualization with Python. This program uses Python and SQL.

Now, let’s see What benefits you will get after completing this Course-

Extra Benefits-

• You will get a chance to work on Real-world projects from Industry Experts.
• You will get Technical mentor support.
• Along with that, you will get Interview preparations,
• Resume services,
• Github review,

Now, let’s see whether this program is suitable for you or not-

Who Should Enroll?

• Who has experience in working with data in Python (specifically NumPy and Pandas) and SQL.

Interested to Enroll?

If yes, then check out all details here- Become a Data Analyst

NOTE- If you want to learn only Data Visualization, then you can check out this Nano-Degree Program from Udacity- Data Visualization

3. IBM Data Analyst Professional Certificate– Coursera

provider- IBM

Rating- 4.7/5

Time to Complete- 11 Months (If you spend 3 hours/week)

In this Professional certificate program, you will learn the fundamentals of gathering data, cleaning data, analyzing the data, and how to share your data with the use of visualizations and dashboard tools.

You will also learn the basic working knowledge of Excel spreadsheets for Data Analysis and a basic understanding of using spreadsheets as a data visualization tool.

This professional certificate program will also provide Python basics, Pandas, and NumPy. Along with that, you will learn basic and advanced SQL and databases like how to build databases, how to collect and analyze the data using Python. 

In the last two courses, you will learn data analysis techniques, starting from importing and wrangling data to statistical analysis and modeling. And data visualization techniques like line graphs, pie charts, bar charts, and specialized visualizations like Waffle and Folium.

In the final Capstone Project, you will practice almost all the concepts studied in this whole program. There are 8 courses in this IBM Data Analyst Professional Certificate.

Extra Benefits-

1. You will earn a Shareable Certificate after completing the Data Science specialization Program.
2. Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

Now, let’s see whether you should enroll in this certification course or not?

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.

Interested to Enroll?

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

4. Data Analyst with Python– DataCamp

Time to Complete- 62 hours

This is a Career Track offered by Datacamp. In this career track, there are 16 courses in a step-by-step manner, where you will learn how to import, clean, manipulate, and visualize data.

The best part of this career track is that you will get hands-on with some of the most popular Python libraries, including pandas, NumPy, Matplotlib, and many more.

You will also work with real-world datasets, including data from the Titanic and Twitter’s streaming API.

Who Should Enroll?

• Who is complete beginner and want to learn data analytics with Python.

Interested to Enroll?

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

Note- If you want to learn Data Analysis with R programming language, then you should check this Career Track- Data Analyst with R

5. Data Science Specialization– Coursera

Provider- Johns Hopkins University

Rating– 4.5/5

Time to Complete- 11 months

This is one of the most highly rated and enrolled course series. In this course series, there is a separate section on statistics. And Knowledge of Statistics is mandatory for a Data Analyst.

This Data Science specialization Program is the perfect mixture of theory and practical applications. R programming language is used for all Data Science related tasks. This specialization program consists of 10 courses.

Courses include-

1. The Data Scientist’s Toolbox
2. R Programming
3. Getting and Cleaning Data
4. Exploratory Data Analysis
5. Reproducible Research
6. Statistical Inference
7. Regression Models
8. Practical Machine Learning
9. Developing Data Products
10. Data Science Capstone

NOTE- You can also enroll for any single course within these 10 courses. And after completing the course and hands-on project, you will get a certificate. But completing the full program is beneficial for you.

Now, let’s see what Data Analyst Skills you will gain after completing this specialization program-

Skills Gain-

1. Data Science
2. Machine Learning
3. R Programming
4. Rstudio
5. Github
6. Regression Analysis
7. Data Analysis
8. Data Manipulation
9. Data Cleansing
10. Cluster Analysis
11. Debugging
12. Regular Expression (REGEX)
13. Hands-on project using R Programming Language.

Extra Benefits-

1. You will earn a Shareable Certificate after completing the Data Science specialization Program.
2. Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

Now, let’s see whether you should enroll in this certification course or not?

Who Should Enroll?

1. Those who have beginner-level knowledge in any programming language.
2. If you want to master all Data Analyst Skills including R and Statistics.

Interested to Enroll?

If yes, then check out all details here- Data Science Specialization

6. IBM Data Science Professional Certificate– Coursera

Provider- IBM

Rating– 4.6/5

Time to Complete- 11 months

This is another most popular certification course series for Data Science and Data Analysis. This Professional Certificate from IBM is for anyone who wants to start a career in Data Science and Data Analytics.

This program is consists of 9 courses. These 9 courses will cover all Data Science skills start from open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning.

To start Professional Certificate from IBM Program, no prior knowledge of Computer Science and Programming is required.

Courses include-

This Specialization Program has 9 Courses-

1. What is Data Science?
2. Tools for Data Science
3. Data Science Methodology
4. Python for Data Science and AI
5. Databases and SQL for Data Science
6. Data Analysis with Python
7. Data Visualization with Python
8. Machine Learning with Python
9. Applied Data Science Capstone

Now, let’s see what Data Analyst Skills you will gain after completing this specialization program-

Skills Gain-

1. Data Science
2. Machine Learning
3. Python Programming
4. Data Analysis
5. Data Visualization (DataViz)
6. Predictive Modelling
7. Relational Database Management System (RDBMS)
8. SQL
9. Cloud Databases
10. Pandas, Numpy, and Ipython.
11. Hands-on assignments and built a portfolio of data science projects.

On Which tools, you will work?

1.  Jupyter/JupyterLab,
2. Zeppelin notebooks,
3. R Studio,
4. Watson Studio

On Which projects, you will work?

1. Random album generator,
2. Predict housing prices,
3. Best classifier model,
4. Battle of neighborhoods.

Extra Benefits-

1. You will earn a Professional Certificate from Coursera.
2. You will get a Digital Badge from IBM.
3. After completing the Professional Certificate, you will get FREE career resources.

Who Should Enroll?

1. Those who are a beginner, with no prior experience in Data Science and Data Analytics.
2. The one, who is looking to start a new career, or want to change the current one.

Interested to Enroll?

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

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

Provider- Duke University

Rating- 4.6/5

Time to Complete- 7 months

This Specialization program is offered by Duke University. In this program, you’ll learn to frame business challenges as data questions. You will work with tools like Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights.

The best part about this program is, you will work on a hands-on project, that focuses on optimizing revenues from residential property. Airbnb is Capstone’s official Sponsor of this program. This is also a 5-course series program.

Extra Benefits-

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

Now, let’s see whether this course is suitable for you or not-

Who Should Enroll?

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

Interested to Enroll?

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

8. Statistics with R Specialization– Coursera

Rating- 4.6/5

Provider- Duke University

Time to Complete- 7 Months

As I mentioned that knowledge of Statistics is crucial. And R is much better than Python for performing statistical operations. So, if you want to master Statistics, then I recommend this specialization program.

This specialization program will give you more in-depth Statistics with the help of R. In this program, you will learn how to analyze and visualize data in R and create reproducible data analysis reports, and much more.

This specialization program contains 5 Courses. Let’s see course details-

1. Introduction to Probability and Data with R
2. Inferential Statistics
3. Linear Regression and Modeling
4. Bayesian Statistics
5. Statistics with R Capstone

Extra Benefits-

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

Who Should Enroll?

• Who has basic math knowledge. No previous programming knowledge is required for this course.

Interested to Enroll?

If yes, then check out all details here- Statistics with R Specialization

9. Applied Data Science with Python Specialization– Coursera

Provider- University of Michigan

Rating- 4.5/5

Time to Complete- 5 months

This specialization program teaches data science through the python programming language. You will get a strong introduction to data science Python libraries, like matplotlib, pandas, nltk, scikit-learn, and networkx.

This course series doesn’t include Statistics needed for Data Science and various Machine Learning algorithms. It focuses on how to use these algorithms in Python.

If you want to learn Statistics first, then consider the Statistics with Python Specialization. In Statistics with Python Specialization, you will learn very important Statistical skills that are required for data science.

This Specialization Program consists of 5 Courses-

1. Introduction to Data Science in Python
2. Applied Plotting, Charting & Data Representation in Python
3. Applied Machine Learning in Python
4. Applied Text Mining in Python
5. Applied Social Network Analysis in Python

Skills Gain-

1. Text Mining
2. Python Programming
3. Data Cleansing
4. Data Virtualization
5. Data Visualization (DataViz)
6. Machine Learning (ML) Algorithms
7. Natural Language Toolkit (NLTK)

Extra Benefits-

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

Who Should Enroll?

1. This program is not for Beginners. Those who have Intermediate level knowledge in Data Science can Enroll in this program.
2. The one, who has basic python or programming knowledge.

Interested to Enroll?

If yes, then check out all details here- Applied Data Science with Python Specialization

10. Data Analyst Masters Program– Edureka

This is the Master’s Program offered by Edureka. In this Master’s Program, you will learn-

• Statistics,
• Exploratory Analysis,
• Data Visualization,
• Probability,
• Advanced SAS Procedures,
• Tableau,
• Bayesian Inference,
• Regression Modelling,
• Data Manipulation,
• Data Mining, Regression,
• Sentiment Analysis,
• Advanced Statistical Techniques,
• SAS Macros,
• PROC SQL,
• SAS ODS,
• LOD Expressions,
• Tableau Public,
• Data Visualization,
• Integration with R etc.

This program consists of 10 courses.

Courses Include-

• Statistics Essentials for Analytics
• Data Analytics with R Certification Training
• SAS Training and Certification
• Tableau Training & Certification

FREE Elective Courses-

• Qlikview Certification Training
• Advanced MS Excel 2010
• R Programming Certification Training
• Analytics for Retail Banks
• Decision Tree Modeling Using R Certification
• Machine Learning with Mahout Certification

Capstone Project-

• Data Analyst Master Capstone Project

Extra Benefits-

• You will get a Masters Course Certification.
• You will get lifetime access to presentations, quizzes, installation guides.
• Along with that, you will get a Personal Learning Manager who will answer all your queries.

Who Should Enroll?

• Anyone can enroll whether you are an experienced professional working in the IT industry, or an aspirant planning to enter the world of Data Analyst.

Interested to Enroll?

If yes, then check out all details here- Data Analyst Masters Program

11. Microsoft Excel – Data Analysis with Excel Pivot Tables- Udemy

Rating- 4.6/5

Provider-Maven Analytics, Chris Dutton

Time to Complete- 6.5 hours

If you want to get in-depth knowledge of Microsoft Excel for Data Analysis, then this course is perfect for you. This course will give you a complete understanding of  Excel Pivot Tables and Excel Pivot Charts.

In this course, you will learn-

• Raw data structure in Excel
• Pivot Table layouts & styles
• Design & formatting options
• Sorting, filtering, & grouping tools
• Calculated fields, items & values
• Pivot Charts, slicers & timelines
• Interactive Excel dashboards

Extra Benefits-

• You will get a Certificate of completion.
• Along with that, you will get full lifetime access and 22 articles and 6 downloadable resources.

Who Should Enroll?

• Anyone who want to master Microsoft Excel for Data Analysis.

Interested to Enroll?

If yes, then check out all details here- Microsoft Excel – Data Analysis with Excel Pivot Tables

So, that’s all. These are the 11 Best Data Analyst Online Certifications. Now, it’s time to wrap up.

Conclusion

I hope these courses will help you to start your Data Analyst Journey. I aim to provide you best resources for Learning. If you have any doubts or questions, feel free to ask me in the comment section.

Tell me in the comment section, which course you like.

All the Best!

Happy Learning!

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