13 Best Data Analysis Courses - Learn Data Analysis Online

Highly curated Data Analysis courses for beginners. Start with the best Data Analysis courses and learn Data Analysis online as a beginner.

13 Best Data Analysis Courses - Learn Data Analysis Online

The Best Data Analysis online Courses and classes for beginners to learn Data Analysis in 2021.

Data Analysis abilities, in the easiest structure, allude to the capacity to utilize one's scientific and coherent thinking to assess the gathered data. These abilities require gathering data from different sources, inspecting it, just as examining it to find certain discoveries, ends, or valuable data to help dynamic.

It helps companies accurately assess situations and make better business decisions. Also, Data Analysis appears throughout any rigorous MBA program and in today’s business environment understanding the fundamentals of collecting, presenting, describing, and making inferences from data sets is essential for success.

Data analysis is the skill that assists us with recognizing the potential dangers that should be stayed away from and the chances that should be grabbed for development.

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Top Data Analysis Certifications and Courses List

  1. Learning Python for Data Analysis and Visualization

  2. Data Analysis with Python

  3. Learning Excel: Data Analysis Online Class

  4. SQL for Data Analysis: Weekender Crash Course for Beginners

  5. Introduction to Data Analysis Using Excel

  6. Exploratory Data Analysis with AWS Machine Learning

  7. Ultimate Pandas and Python Data Analysis (Complete Course)

  8. Python Data Analysis Online Class

  9. Data Analysis Essentials

  10. Complete Introduction to Business Data Analysis

  11. Fundamentals of Programming in Data Analysis Expression DAX

  12. High-Dimensional Data Analysis

  13. Python Data Analysis for Excel Users: A Hands-On Guide

1. Learning Python for Data Analysis and Visualization

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

Course rating: 4.4 out of 5.0 ( 16,348 Ratings total)

In this course, you will learn how to:

  • have an intermediate skill level in Python programming.
  • use the Jupyter Notebook Environment.
  • use the NumPy library to create and manipulate arrays.
  • use the pandas' module with Python to create and structure data.
  • work with various data formats within python, including JSON, HTML, and MS Excel Worksheets.
  • create data visualizations using matplotlib and the seaborn modules with python.
  • have a portfolio of various data analysis projects.
  • create and manipulate arrays using NumPy and Python.
  • use pandas to create and analyze data sets.
  • use matplotlib and seaborn libraries to create beautiful data visualization.
  • have an amazing portfolio of example python data analysis projects.
  • have an understanding of Machine Learning and SciKit Learn.

Here, you will get a full understanding of how to program with Python and how to use it in conjunction with scientific computing modules and libraries to analyze data.

By the end of this course, you will have an understanding of how to program in Python.

You can take Learning Python for Data Analysis and Visualization Certificate Course on Udemy.

2. Data Analysis with Python

Learn Data Analysis with Python from IBM. Learn how to analyze data using Python.

Course rating: 4.7 out of 5.0 ( 13,495 Ratings total)

In this course, you will learn how to:

  • use Pandas, Numpy, and Scipy libraries to work with a sample dataset.
  • understand the fundamentals of Panda, an open-source library.
  • use Panda to load, manipulate, analyze, and visualize cool datasets.
  • use sci-kit-learn, and utilize some of its machine learning algorithms to build smart models and make cool predictions.
  • importing Datasets.
  • clean the data.
  • perform data frame manipulation.
  • summarize the data.
  • build machine learning Regression models.
  • build data pipelines.

The course includes:

  • Importing Datasets
  • Data Wrangling
  • Exploratory Data Analysis
  • Model Development
  • Model Evaluation
  • IBM Digital Badge

This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, and predict future trends from data.

You can take Data Analysis with Python Certificate Course on Coursera.

3. Learning Excel: Data Analysis Online Class

Unlock the power of your organization's data. Learn how to perform data analysis in Microsoft Excel.

Course rating: 129,456 total enrollments

The course includes:

  • Foundational Concepts of Data Analysis
  • Visualize Data
  • Test a Hypothesis
  • Utilize Data Distributions
  • Measure, Covariance, and Correlation
  • Perform Bayesian Analysis

This course helps you unlock the power of your organization's data using the data analysis and visualization tools built into Excel. Initially, you will learn some foundational concepts, including basic calculations such as mean, median, and standard deviation, and provides an introduction to the central limit theorem.

It then shows how to visualize data, relationships, and future results with Excel's histograms, graphs, and charts. The course also covers testing hypotheses, modeling different data distributions, and calculating the covariance and correlation between data sets. Finally, it reviews the process of calculating Bayesian probabilities in Excel.

You can take Learning Excel: Data Analysis Online Class Certificate Course on LinkedIn.

4. SQL for Data Analysis: Weekender Crash Course for Beginners

Want to make more data-driven decisions? Have little or no technical experience? This is the perfect SQL course for you! Start from scratch and become a pro.

Course rating: 4.4 out of 5.0 ( 13,430 Ratings total)

In this course, you will learn how to:

  • analyze user behavior.
  • find actionable customer/business insights.
  • make data-driven decisions.
  • measure and track marketing efforts.
  • discover sexy marketing stats (e.g. 1 in 4 people love toast!).

In this course, you will go through the queries that a real business would run into while also learn the raw skills undergirding those queries so you can adapt those skills to create custom queries for your own specific purposes.

You can take SQL for Data Analysis: Weekender Crash Course for Beginners Certificate Course on Udemy.

5. Introduction to Data Analysis Using Excel

Learn Introduction to Data Analysis Using Excel from Rice University. The use of Excel is widespread in the industry.

Course rating: 4.7 out of 5.0 ( 8,431 Ratings total)

In this course, you will be introduced to:

  • the use of Excel spreadsheets and various basic data functions of Excel.
  • reading data into Excel using various formats.
  • basic functions in Excel, arithmetic as well as various logical functions.
  • formatting rows and columns.
  • using formulas in Excel and their copy and paste using absolute and relative referencing.
  • various Excel functions to organize and query data. Learners are introduced to the IF, nested IF, VLOOKUP, and the HLOOKUP functions of Excel.
  • various data filtering capabilities of Excel.
  • set filters in data to selectively access data.
  • the Pivot Table and how to introduce the charting feature of Excel.

The course includes:

  • Introduction to Spreadsheets
  • Spreadsheet Functions to Organize Data
  • Introduction to Filtering, Pivot Tables, and Charts
  • Advanced Graphing and Charting

This is an introductory course in the use of Excel and is designed to give you a working knowledge of Excel with the aim of getting to use it for more advanced topics in Business Statistics later.

The course takes you from basic operations such as reading data into excel using various data formats, organizing and manipulating data, to some of the more advanced functionality of Excel.

All along, Excel functionality is introduced using easy-to-understand examples which are demonstrated in a way that learners can become comfortable in understanding and applying them.

You can take Introduction to Data Analysis Using Excel Certificate Course on Coursera.

6. Exploratory Data Analysis with AWS Machine Learning

Understanding how to deal with data is becoming a required skill in the information age. This course will teach you how to do exploratory data analysis and leverage relevant AWS services.

Course rating: 4.0 out of 5.0 ( 30 Ratings total)

The course includes:

  • Machine Learning with AWS
  • Data Analysis Using AWS
  • Data Visualization Using AWS
  • Data Preparation Using AWS

In this course, Exploratory Data Analysis with AWS Machine Learning, you will learn how to analyze, visualize, preprocess and feature engineer datasets to make them ready for subsequent machine learning steps.

Initially, you will explore how to understand data trends and distribution using basic statistics. Next, you will discover how to visualize your dataset to understand the overall patterns.

Finally, you will learn how to prepare your data for the machine learning pipeline by doing preprocessing and feature engineering.

You can take Exploratory Data Analysis with AWS Machine Learning Certificate Course on Pluralsight.

7. Ultimate Pandas and Python Data Analysis (Complete Course)

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

Course rating: 4.7 out of 5.0 ( 13,626 Ratings total)

In this course, you will learn how to:

  • perform a multitude of data operations in Python's popular "pandas" library including grouping, pivoting, joining, and more!
  • understand hundreds of methods and attributes across numerous pandas objects.
  • possess a strong understanding of manipulating 1D, 2D, and 3D data sets.
  • resolve common issues in broken or incomplete data sets.

You can take the Ultimate Pandas and Python Data Analysis (Complete Course) Certificate Course on Udemy.

8. Python Data Analysis Online Class

Interested in using Python for data analysis? Learn how to use Python, NumPy, and pandas together to analyze data sets large and small.

Course rating: 69,883 total enrollments

The course includes:

  • Installation and Setup
  • Data Structures in Pure Python
  • Wordplay: Anagrams and Palindromes
  • Arrays with NumPy
  • Use Case: Weather Data
  • Pandas
  • Use Case: Baby Names

This course shows you how and what it takes to get started with data science using Python. Initially, it demonstrates how to set up your analysis environment and provides a refresher on the basics of working with data structures in Python.

Then, it jumps into the big stuff: the power of arrays, indexing, and tables in NumPy and pandas—two popular third-party packages designed specifically for data analysis.

The course also walks through two sample big-data projects: using NumPy to identify and visualize weather patterns and using pandas to analyze the popularity of baby names over the last century.

You can take Python Data Analysis Online Class Certificate Course on LinkedIn.

9. Data Analysis Essentials

Discover and acquire the quantitative data analysis skills that you will typically need to succeed in an MBA program.

Course rating: 49,353 total enrollments

In this course, you will learn:

  • presenting and summarizing your data.
  • decision making under uncertainty.
  • data-based decision-making.
  • modeling for decision making.

This course will cover the fundamentals of collecting, presenting, describing, and making inferences from sets of data.

The goal of this course is to teach you fundamental data analysis skills so you are prepared for your MBA study and able to focus your efforts on the core MBA curriculum, rather than continually playing catch-up with the underlying statistical knowledge needed.

You can take Data Analysis Essentials Certificate Course on Edx.

10. Complete Introduction to Business Data Analysis

Move beyond basic reports and learn data analysis. Learn to easily turn data into information, insight, and intelligence.

Course rating: 4.5 out of 5.0 ( 7,037 Ratings total)

In this course, you will learn how to:

  • transform data into insight and intelligence using powerful methods of analysis, techniques, and tools.
  • understand data analysis using easy to master drag and drop techniques.
  • perform 8 different techniques for data analysis that can be easily implemented in Excel (2010 - office 365).
  • ask the right questions of your data using comparison, trend, ranking, variance, Pareto, and many other techniques.
  • understand best practices for data analysis and data presentation.
  • use best practices for the design and setup of interactive dashboards.

The course includes:

  • Comparison Analysis
  • Trend Analysis
  • Ranking Analysis
  • Interactive Dashboards
  • Contribution Analysis
  • Variance Analysis
  • Pareto Analysis
  • Frequency Analysis
  • Correlations

During the course, you will understand why the form of analysis is important and also provide examples of analysis using Excel.

You can take the Complete Introduction to Business Data Analysis Certificate Course on Udemy.

11. Fundamentals of Programming in Data Analysis Expression DAX

Data Analysis Expression DAX functions, examples, and use cases

Course rating: 4.6 out of 5.0 ( 85 Ratings total)

The course includes:

  • Syntax
  • Row Context
  • Filter Context
  • Calculated Column
  • Measure
  • Implicit Filter
  • Explicit Filter
  • Iterators
  • Evaluation Context
  • SUM function
  • SUMX function
  • AVERAGEX function
  • CONCATENATEX function
  • FILTER function,
  • CALCULATE function
  • RELATED function
  • RELATEDTABLE function

You can take the Fundamentals of Programming in Data Analysis Expression DAX Certificate Course on Eduonix.

12. High-Dimensional Data Analysis

A focus on several techniques that are widely used in the analysis of high-dimensional data.

Course rating: 84,593 total enrollments

In this course, you will learn:

  • Mathematical Distance
  • Dimension Reduction
  • Singular Value Decomposition and Principal Component Analysis
  • Multiple Dimensional Scaling Plots
  • Factor Analysis
  • Dealing with Batch Effects
  • Clustering
  • Heatmaps
  • Basic Machine Learning Concepts

Initially, you will start by learning the mathematical definition of distance and use this to motivate the use of the singular value decomposition (SVD) for dimension reduction of high-dimensional data sets, and multi-dimensional scaling and its connection to principal component analysis.

You will learn about the batch effect, the most challenging data analytical problem in genomics today, and describe how the techniques can be used to detect and adjust for batch effects.

Specifically, the course will describe the principal component analysis and factor analysis and demonstrate how these concepts are applied to data visualization and data analysis of high-throughput experimental data.

Finally, it will give a brief introduction to machine learning and apply it to high-throughput, large-scale data. The course describes the general idea behind clustering analysis and descript K-means and hierarchical clustering and demonstrates how these are used in genomics and describes prediction algorithms such as k-nearest neighbors along with the concepts of training sets, test sets, error rates, and cross-validation.

You can take High-Dimensional Data Analysis Certificate Course on Edx.

13. Python Data Analysis for Excel Users: A Hands-On Guide

Python Data Analysis for Excel Users: A Hands-On Guide.

Course rating: 4.5 out of 5.0 ( 34 Ratings total)

In this course, you will learn how to:

  • use Google Colab to begin using Python without installing software.
  • use Python packages and functions.
  • import and export data from Python.
  • perform basic tasks like data cleaning.
  • Python can save time by creating scripts that can be re-run easily.
  • create well-documented analysis with the help of notebooks.
  • replicate many Excel features.

The first part is the introduction to the course and an overview of the essential concepts you need to know to use Python and pandas.

Next, you will learn how to build a pivot table and charts in Python. Finally, you will work on an analytics project using real-world data together and then apply everything you have learned to build your own project.

You can take Python Data Analysis for Excel Users: A Hands-On Guide Certificate Course on Eduonix.


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