10 Best Data Analysis Courses and Certifications Online

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Close up iPhone showing Udemy application and laptop with notebookThere are thousands of online courses and classes that will help you improve your Data Analysis abilities and earn your Data Analysis certificate.

In this short article, our specialists have actually put together a curated list of the 10 Best of the Best Data Analysis courses, tutorials, training programs, classes and certifications that are offered online right now.

We have included only those courses that fulfill our top quality requirements. We have put a great deal of effort and time into collecting these all for you. These courses are suitable for all levels, beginners, intermediate learners, and experts.

Here’s a look at these courses and what they have to offer for you!

10 Best Data Analysis Courses and Certifications Online

Course Name Enrolled Students (Count) Reviews (count)
1. The Data Science Course 2022: Complete Data Science Bootcamp Our Best Pick 518631+ 111252+
2. Microsoft Excel – Advanced Excel Formulas & Functions 295011+ 67639+
3. Learning Python for Data Analysis and Visualization 190609+ 18046+
4. Data Analysis with Pandas and Python 169788+ 17480+
5. SQL for NEWBS: Weekender Crash Course 69290+ 14499+
6. Data Analysis Essentials Using Excel 54904+ 8787+
7. Complete Introduction to Business Data Analysis 31769+ 10445+
8. Statistics for Data Analysis Using Excel 2016 19873+ 4620+
9. Complete Introduction to Google Data Studio 2022 Edition 17412+ 4324+
10. Python Data Analysis & Visualization Bootcamp 7757+ 3506+

1. The Data Science Course 2022: Complete Data Science Bootcamp by “365 Careers, 365 Careers Team” Udemy Course Our Best Pick

“Complete Data Science Training: Mathematics, Statistics, Python, Advanced Statistics in Python, Machine & Deep Learning”

As of right now, more than 518631+ people have enrolled in this course and there are over 111252+ reviews.

Course Content
Part 1: Introduction
The Field of Data Science – The Various Data Science Disciplines
The Field of Data Science – Connecting the Data Science Disciplines
The Field of Data Science – The Benefits of Each Discipline
The Field of Data Science – Popular Data Science Techniques
The Field of Data Science – Popular Data Science Tools
The Field of Data Science – Careers in Data Science
The Field of Data Science – Debunking Common Misconceptions
Part 2: Probability
Probability – Combinatorics
Probability – Bayesian Inference
Probability – Distributions
Probability – Probability in Other Fields
Part 3: Statistics
Statistics – Descriptive Statistics
Statistics – Practical Example: Descriptive Statistics
Statistics – Inferential Statistics Fundamentals
Statistics – Inferential Statistics: Confidence Intervals
Statistics – Practical Example: Inferential Statistics
Statistics – Hypothesis Testing
Statistics – Practical Example: Hypothesis Testing
Part 4: Introduction to Python
Python – Variables and Data Types
Python – Basic Python Syntax
Python – Other Python Operators
Python – Conditional Statements
Python – Python Functions
Python – Sequences
Python – Iterations
Python – Advanced Python Tools
Part 5: Advanced Statistical Methods in Python
Advanced Statistical Methods – Linear Regression with StatsModels
Advanced Statistical Methods – Multiple Linear Regression with StatsModels
Advanced Statistical Methods – Linear Regression with sklearn
Advanced Statistical Methods – Practical Example: Linear Regression
Advanced Statistical Methods – Logistic Regression
Advanced Statistical Methods – Cluster Analysis
Advanced Statistical Methods – K-Means Clustering
Advanced Statistical Methods – Other Types of Clustering
Part 6: Mathematics
Part 7: Deep Learning
Deep Learning – Introduction to Neural Networks
Deep Learning – How to Build a Neural Network from Scratch with NumPy
Deep Learning – TensorFlow 2.0: Introduction
Deep Learning – Digging Deeper into NNs: Introducing Deep Neural Networks
Deep Learning – Overfitting
Deep Learning – Initialization
Deep Learning – Digging into Gradient Descent and Learning Rate Schedules
Deep Learning – Preprocessing
Deep Learning – Classifying on the MNIST Dataset
Deep Learning – Business Case Example
Deep Learning – Conclusion
Appendix: Deep Learning – TensorFlow 1: Introduction
Appendix: Deep Learning – TensorFlow 1: Classifying on the MNIST Dataset
Appendix: Deep Learning – TensorFlow 1: Business Case
Software Integration
Case Study – What’s Next in the Course?
Case Study – Preprocessing the ‘Absenteeism_data’
Case Study – Applying Machine Learning to Create the ‘absenteeism_module’
Case Study – Loading the ‘absenteeism_module’
Case Study – Analyzing the Predicted Outputs in Tableau
Appendix – Additional Python Tools
Appendix – pandas Fundamentals
Appendix – Working with Text Files in Python
Bonus Lecture

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2. Microsoft Excel – Advanced Excel Formulas & Functions by “Maven Analytics, Chris Dutton” Udemy Course

Master 75+ MS Excel formulas and learn data analysis with a top Microsoft Excel & business intelligence instructor

As of right now, more than 295011+ people have enrolled in this course and there are over 67639+ reviews.

Course Content
Getting Started
Excel Formulas 101
Conditional Statements & Logical Operators
Common Excel Statistical Functions
Lookup & Reference Functions
Text Functions
Date & Time Functions
Formula-Based Formatting
Dynamic Array Formulas
Bonus Functions
Wrapping Up

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3. Learning Python for Data Analysis and Visualization by Jose Portilla Udemy Course

“Learn python and how to use it to analyze,visualize and present data. Includes tons of sample code and hours of video!”

As of right now, more than 190609+ people have enrolled in this course and there are over 18046+ reviews.

Course Content
Intro to Course and Python
Setup
Learning Numpy
Intro to Pandas
Working with Data: Part 1
Working with Data: Part 2
Working with Data: Part 3
Data Visualization
Example Projects.
Machine Learning
Appendix: Statistics Overview
Appendix: SQL and Python
Appendix: Web Scraping with Python
Appendix: Python Special Offers
BONUS SECTION: THANK YOU!

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4. Data Analysis with Pandas and Python by Boris Paskhaver Udemy Course

Analyze data quickly and easily with Python’s powerful pandas library! All datasets included — beginners welcome!

As of right now, more than 169788+ people have enrolled in this course and there are over 17480+ reviews.

Course Content
“Installation and Setup
BONUS: Python Crash Course
Series
DataFrames I: Introduction
DataFrames II: Filtering Data
DataFrames III: Data Extraction
Working with Text Data
MultiIndex
The GroupBy Object
Merging, Joining, and Concatenating DataFrames
Working with Dates and Times in Datasets
Input and Output in pandas
Visualization
Options and Settings in pandas
Conclusion”

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5. SQL for NEWBS: Weekender Crash Course by “A Course You’ll Actually Finish, David Kim, Peter Sefton” Udemy Course

“Using MySQL but applicable to Oracle SQL, Microsoft SQL Server, and PostgreSQL. Taught by a Data Scientist and PM.”

As of right now, more than 69290+ people have enrolled in this course and there are over 14499+ reviews.

Course Content
Welcome!
Intro to MySQL
Basic Queries
Level 2 Concepts

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6. Data Analysis Essentials Using Excel by “Symon He, Travis Chow” Udemy Course

Learn to apply the important concepts and techniques of data analysis using Excel.

As of right now, more than 54904+ people have enrolled in this course and there are over 8787+ reviews.

Course Content
“Watch This First
Jumpstart
Getting Acclimated with EXCEL – Foundations
Basic EXCEL Formulas & Functions – Foundations
Text, Times, and Dates Data Formats – Foundations
Introduction to Statistics in EXCEL – Foundations
Handling Data in EXCEL
Pivot Tables
Introduction to Charts in Excel
Case Study: Crytocurrency Data
Case Study: Survey Data
Case Study: The Startup Market
Case Study: Data Preparation (for Startup Market Data)
Appendix: Bonus Topics
New to Udemy?”

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7. Complete Introduction to Business Data Analysis by Ian Littlejohn Udemy Course

“Move beyond BASIC reports and learn data ANALYSIS. Learn to easily turn data into information, insight and intelligence”

As of right now, more than 31769+ people have enrolled in this course and there are over 10445+ reviews.

Course Content
Introduction
Preparing Data for Analysis
Data Analysis – Key Metrics
Comparison Analysis
Trend Analysis
Ranking Analysis
Interactive Dashboard Creation
Variance Analysis
Contribution Analysis
Frequency Analysis
Correlation Analysis
Pareto Analysis
Conclusion

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8. Statistics for Data Analysis Using Excel 2016 by “Sandeep Kumar, ­ Quality Gurus Inc.” Udemy Course

Plain & Simple Lessons on Descriptive & Inferential Statistics Theory With Excel Examples for Business & Six Sigma

As of right now, more than 19873+ people have enrolled in this course and there are over 4620+ reviews.

Course Content
Statistics Introduction and Definitions
Basics of Statistics and Microsoft Excel
Descriptive Statistics
Data Visualization
Basic Probability Concepts
Probability Distributions
Hypothesis Testing
ANOVA – Analysis of Variance
Goodness of Fit and Contingency Table
Correlation and Linear Regression
Conclusion

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9. Complete Introduction to Google Data Studio 2022 Edition by Ian Littlejohn Udemy Course

Learn how to create POWERFUL data analysis and dashboards with Google Data Studio for your Google Sheets

As of right now, more than 17412+ people have enrolled in this course and there are over 4324+ reviews.

Course Content
Introduction
Tables
Methods of Aggregation
Pivot Tables and Card Visualizations
Slicers and Visualization Filters
Custom Calculations
Case Study
Time Series Graphs
Other Visualizations
Publishing and Sharing Interactive Dashboards
Cases Studies
Conclusion

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10. Python Data Analysis & Visualization Bootcamp by Siranjeevi – Python Data Analysis and Visualization Udemy Course

Financial Data Analysis and Visualization with Python: The HighQuality Study kit

As of right now, more than 7757+ people have enrolled in this course and there are over 3506+ reviews.

Course Content
Setup and Jupyter Environment (Python 3)
Data Manipulation with Numpy (Python 3)
Data Manipulation with Pandas (Python 3)
Starting with File Operations (Python 3)
Data Analysis and Methodologies – Learn to perform Operations on datasets (Py 3)
Data Visualization

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Here are some frequently asked questions about learning Data Analysis

How Long Does It Take to Learn Data Analysis?

The answer to the question “How long does it ttake to learn Data Analysis” is … it depends. Everyone has different requirements, and everybody is working in different situations, so the answer for someone may be totally different than for somebody else.

Think about these questions: What are you trying to Learn Data Analysis for? Where is your starting point? Are you a newbie or do you have experience with Data Analysis? How much can you practice? 1 hour daily? 40 hours per week? Check out this course about Data Analysis.

Is Data Analysis Easy Or Hard to Learn?

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How to Learn Data Analysis Fast?

The fastest way to Learn Data Analysis is to first get this Data Analysis course, then practice whatever you learn whenever you can. Even if its simply 15 minutes a day of practice. Consistency is essential.

Where to Learn Data Analysis?

If you want to explore and learn Data Analysis, then Udemy provides you the best platform to learn the Data Analysis. Check this course on how to Learn Data Analysis in no time!

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