Data Analyst Certification

Top Data Analyst Certification Programs

Anyone who has worked with data or is currently working with data will be able to identify the need for a data analyst. Take your first step with a data analyst certification program that revamps your resume and shows potential employers that you’ve got what it takes to succeed in this role.

Our Top 10 Picks

Udacity Logo
Data Analyst Nanodegree
Best project-based learning courses
Dataquest
Data Analyst in Python Career Path
Best Python data analyst program
IBM
Professional Certificate in Data Analysis and Visualization Fundamentals
Best for data analysis and visualization
DataCamp
Data Analyst with Python Career Track
Best hands-on Python learning courses
IBM
Professional Certificate in Data Analyst
Best all-in-one data analyst certification
DataCamp
Data Analyst with R Career Track
Best R programming data analyst courses
Dataquest
Data Analyst in R Career Path
Best alternative R data analyst program
RIT
Professional Certificate in Data Analysis for Decision-Making
Best entry-level certificate
Codecademy
Data Analysis Career Path
Best data analyst program for beginners
Davidson
Professional Certificate in Data Analysis Basics with Excel
Best data analyst certificate for Excel

1. Data Analyst Nanodegree (Udacity)

Udacity Logo

Data analysts play an important role in the world of business. Without data, businesses can’t operate effectively. That’s why the Udacity Data Analyst Nanodegree can give you the qualifications to provide real value to customers.

Start your journey to data science with this online program. Get the skills and knowledge you need to become a data analyst. With this program, you can learn Python, SQL, and statistics in a 4-month accelerated format, so you can learn to bring a data-driven approach to any business.

Courses

  1. Introduction to Data Analysis – Get a handle on all the different ways to use data, from exploration to data management. Learn how to manipulate data for analysis and presentation. Finally, gain the necessary skills and learn how to wrangle, explore, analyze, and communicate data more effectively.
  2. Practical Statistics – Get to know the basics of probability and inferential statistics so you can apply them to real-world scenarios. This course is perfect for students who want to understand how these concepts can be used to improve their decision-making including A/B tests and supervised learning.
  3. Data Wrangling – This course will teach you how to use Python to gather, assess, and clean data. After completing this course, you will be able to use Python to wrangle data programmatically and prepare it for analysis.
  4. Data Visualization with Python – Learn how to use Python to explore data and find insights. Data visualizations are a powerful way to communicate information and understand relationships. By learning to use Python to make data visualizations, you will be able to communicate information more effectively and extract value from data.

Skills Acquired

  • Python
  • Data Analysis
  • Numpy and Pandas
  • A/B Testing
  • Inferential Statistics
  • Probability
  • Supervised Learning
  • Data Wrangling
  • Jupyter Notebook
  • SQL
  • Data Visualization
  • Statistics

For more information, read our review of the Udacity Data Analyst Nanodegree.

  • PREREQUISITES: This program requires experience in Python and SQL.

2. Data Analyst in Python Career Path (Dataquest)

Dataquest

During the Data Analyst in Python Career Path, you’ll learn the ropes of data analysis and presentation. After completing this course, you’ll be able to manage the entire analysis process from preparing data to presenting insights through data visualization.

This career path offers a wealth of skills for data scientists who want to explore and extract data from databases and websites through web scraping. Finally, you’ll learn how to use Python to perform complex statistical analyses of large datasets.

Courses

  1. Introduction to Python – Get started with Python in this course, and improve your coding skills in the process. Learn the basics of Python, from the basics of data structures to more advanced features like building functions.
  2. Intermediate Python and Pandas – Get the skills you need to start working with pandas and Python. This course is designed for people who want to learn Python and data analysis. We will cover everything from data structures to data visualization with Matplotlib and Seaborn.
  3. Data Cleaning in Python – Learn Data Cleaning in Python Course to help you manage and clean your data. This course will help you effectively clean your data, and make it easier for you to identify and fix data problems.
  4. The Command Line – Get the skills and knowledge you need to be a successful Python developer. This online course provides you with everything you need to know about the command line using Bash.
  5. Working with Data Sources – Get a better understanding of how to work with data sources and SQL. This course will help you become proficient in working with data, using SQL and web scraping techniques.
  6. Probability and Statistics – Get your hands on the skills you need to analyze, predict, and understand all types of data. Take the Probability and Statistics Course and learn how to use this information to make informed decisions.
  7. Advanced Topics in Data Analysis – From Github to version control, learn more advanced techniques in data analysis with this course.

Skills Acquired

  • Python
  • Jupyter Notebooks
  • pandas + NumPy Libraries
  • Matplotlib
  • Seaborn
  • Data Cleaning
  • Command Line
  • Structured Query Language (SQL)
  • Web Scraping
  • Probability
  • Statistics
  • Git
  • Version Control
  • Hypothesis Testing
  • INFORMATION: This beginner-friendly program takes approximately 6 months to complete.

3. Professional Certificate in Data Analysis and Visualization Fundamentals (IBM)

IBM

Get the skills you need to work with complex data and analyze it for business value. Throughout the Professional Certificate in Data Analysis and Visualization Fundamentals, you will learn how to turn data into insights, insights into action, and action into results.

The expert trainers at IBM will teach you how to make the most out of your data, and help you get your business analytics up and running in no time. Finally, you will gain the knowledge and skills you need to create beautiful and accurate data visualizations.

Courses

  1. Data Analytics Basics for Everyone – Take the first steps in learning the basics of data analytics. This course is designed for everyone who wants to be a Data Analyst including the data analytics lifecycle, data wrangling, and its career opportunities.
  2. Analyzing Data with Excel – Get the skills you need to analyze your data in Excel. This course covers the basics of Excel, from how to clean and how to work with data. You will learn how to use different features of Excel to analyze your data, including data sorting and filtering.
  3. Data Visualization and Building Dashboards with Excel and Cognos – Get the skills you need to create data visualizations and dashboards that are informative, meaningful, and actionable. In this comprehensive course, you will learn how to design data visualizations that are accessible, powerful, and easy to use.

Skills Acquired

  • Data Wrangling
  • Data Analytics
  • Microsoft Excel
  • Cognos Analytics
  • Dashboards
  • Data Mining
  • Pivot Features
  • Visualizations
  • Data Wrangling
  • Data Visualization
  • Statistics
  • INFORMATION: This program from IBM contains 3 skill-building courses and will take approximately 4 months to complete.

4. Data Analyst with Python Career Track (DataCamp)

DataCamp

Learn Python to become a data analyst and build a career in this powerful programming language. The Data Analyst with Python Career Track offers a deep understanding of the language that can help you build powerful data-driven applications.

With this program, you will learn how to use data visualization and statistics to help you make better decisions. Overall, this career track offers a deep understanding of the Python language so you build powerful data-driven visualizations and insights.

Courses

  1. Introduction to Data Science in Python – Get a crash course on data science so you can start understanding and manipulating your data in an efficient way. This course is perfect for people who want to understand and analyze data, and who don’t have any experience coding.
  2. Intermediate Python – Get your data science skills up to speed with this Intermediate Python Course. This course will teach you how to use pandas and Matplotlib to create visualizations and analyze data.
  3. Data Manipulation with pandas – Get hands-on experience with pandas, one of the world’s most popular data science packages. Learn how to manipulate data and calculate summary statistics. This course is perfect for those who want to get a good understanding of pandas and data analysis.
  4. Joining Data with pandas – Get a taste of how to combine data from multiple tables with hands-on practice using pandas.
  5. Introduction to Data Visualization with Seaborn – Learn how to create informative and attractive visualizations using the Seaborn library. This course will teach you how to use the Seaborn library to manipulate data and generate visualizations that are both informative and attractive.
  6. Exploratory Data Analysis in Python – Take the first step towards exploratory analysis. In this course, you will learn how to use Python to explore and extract insights from data. You’ll learn about data analysis, visualizations, and statistics.
  7. Introduction to Statistics in Python – Gain the skills you need to analyze, collect, and draw accurate conclusions from data using Python and statistics.
  8. Hypothesis Testing in Python – Take the guesswork out of hypothesis testing by learning how to use common tests in Python like t-tests, proportion tests, and chi-square tests.

Skills Acquired

  • Python
  • Data Analysis
  • pandas + NumPy
  • Seaborn
  • Matplotlib
  • DataFrames
  • Time-Series Data
  • Data Visualization
  • Exploratory Data Analysis
  • Regression
  • Statistics
  • Correlation
  • Central Limit Theorem
  • Hypothesis Testing
  • ANOVA
  • INFORMATION: This beginner-friendly program contains 8 skill-building courses with 32 hours of coursework.

5. Professional Certificate in Data Analyst (IBM)

IBM

Learn the ropes and start working with data in the Professional Certificate in Data Analyst and Visualization Fundamentals from IBM. Learn how to use IBM Cognos Analytics, Excel, and Jupyter to build powerful data analysis tools.

Get the training and certification you need to become a data analyst. Our experienced instructors will teach you the basics of data analysis, data visualization, and data mining using Jupyter Notebooks, Folium, and Seaborn.

Courses

  1. Data Analytics Basics for Everyone – Get a foundation for data analytics and understand the basics of data science so you can build on it for your career. This course will teach you everything from the basics of data analysis to more advanced concepts, such as data wrangling.
  2. Analyzing Data with Excel – Take control of your data and make smart decisions with Excel. This course will teach you how to analyze data in a way that makes sense for you.
  3. Data Visualization and Building Dashboards with Excel and Cognos – Get the skills you need to create data visualizations and build dashboards that communicate a story about data. With this comprehensive course, you will learn how to use Excel and Cognos Analytics to create visualizations that reveal insights.
  4. Python Basics for Data Science – This course provides a beginner-friendly introduction to Python for Data Science. Get started with Python today and learn how to create powerful data-driven tools for your work.
  5. Python for Data Science Project – This mini-course is designed to provide you with the basics of Python, so you can work with data in a meaningful way.
  6. SQL for Data Science – Get a better understanding of how SQL can be used to read and extract data from databases. This course will teach you how to use SQL to access, extract, and process data.
  7. Analyzing Data with Python – Get ready to analyze data and make insights. This course provides you with the skills you need to analyze data using Python. You will learn how to use pandas, scikit-learn, and NumPy to analyze data.
  8. Visualizing Data with Python – Get an understanding of how data is visualized and interpreted in Python by taking this course. This course will teach you how to create beautiful graphical representations of data, how to use data visualization tools, and how to make informed decisions with data.
  9. Data Analytics and Visualization Capstone – Take the plunge and complete the Data Analytics and Visualization Capstone Project. This project will give you the skills and knowledge you need to analyze and visualize data in a professional manner.

Skills Acquired

  • Data Analyst
  • IBM Cognos Analytics
  • Microsoft Excel
  • Jupyter Notebooks
  • SQL
  • Python
  • Pandas + Numpy
  • Data Wrangling
  • Matplotlib
  • Seaborn
  • Folium
  • Data Science
  • INFORMATION: This program from IBM contains 9 skill-building courses and will take approximately 10 months to complete.

6. Data Analyst with R Career Track (DataCamp)

DataCamp

Get the training you need to become a data analyst and learn how to work with data in the most efficient and effective way possible in R. This 9-course program covers a wide range of skills including statistics, data visualization, and data manipulation.

Learn data analysis skills in a fun and interactive way in the Data Analyst with R Career Track. By the end of this program, you’ll be proficient enough to start your journey and become a confident data analyst in R.

Courses

  1. Introduction to R – Learn how to manipulate data in a variety of ways, from simple data analysis to more complex data analysis.
  2. Introduction to the Tidyverse – Get started with data science and explore the powerful Tidyverse library of tools. This course will introduce you to the basics of data wrangling and visualization.
  3. Data Manipulation with dplyr – Learn how to manipulate your data using dplyr. This course will teach you how to join tables using dplyr and R.
  4. Introduction to Data Visualization with ggplot2 – Get a crash course in graphics and data analysis, so that you can create beautiful and meaningful visualizations that communicate your insights with ggplot2.
  5. Exploratory Data Analysis in R – Use graphical, numerical, and categorical techniques to uncover the structure of your data.
  6. Introduction to Statistics in R – You will learn how to use R to explore data, make predictions, and analyze trends using correlations, probabilities, and the central limit theorem.
  7. Hypothesis Testing in R – This course provides you with the necessary tools to perform hypothesis testing in R, so you can make better decisions in your research projects.

Skills Acquired

  • R
  • Data Analysis
  • ggplot2
  • Tidyverse
  • Data Wrangling
  • dplyr
  • Data Manipulation
  • Data Visualization
  • Exploratory Data Analysis
  • Hypothesis Testing
  • Statistics
  • Summary Statistics
  • Correlation
  • INFORMATION: This beginner-friendly program contains 8 courses with 32 hours of coursework.

7. Data Analyst in R Career Path (Dataquest)

Dataquest

Learn the ropes of data analysis so you can land your first job as a data analyst. Learn about the different data analysis tools in statistics and machine learning and how to use them to your advantage.

In the Data Analyst in R Career Path, you will get started on your data analyst journey. Get the skills you need to understand complex data and make informed decisions with this beginner-friendly career path.

Courses

  1. Introduction to R – Get a first-hand understanding of the basics of R, the popular programming language for data science. This course will teach you how to use R to manipulate data using functions, control flow, and iterations.
  2. Data Visualization in R – Learn how to use the ggplot2 package to visualize your data. This package provides a powerful plotting environment for analyzing data in R.
  3. Data Cleaning in R – This course is designed for aspiring data analysts who want to learn how to clean and analyze data in R.
  4. Working with Data Sources – Get up to speed with the basics of working with SQL databases and learn how to create, update, and delete data. You will also familiarize yourself with web scraping and APIs.
  5. Probability and Statistics – Learn about the basics of statistics and how to use it to analyze data including sampling, distributions, and hypothesis testing.
  6. Predictive Modeling and Machine Learning – Get a better understanding of linear regression modeling in R and machine learning with k-nearest neighbors.
  7. Shiny Applications in R – Get started with Shiny and learn how to create interactive web applications.

Skills Acquired

  • R
  • RStudio
  • tidyverse
  • DataFrames
  • Tibbles
  • ggplot2
  • Data Cleaning
  • SQL Databases
  • Web Scraping
  • Probability
  • Statistics
  • Machine Learning
  • Linear Regression
  • Hypothesis Testing
  • Shiny Applications
  • INFORMATION: This beginner-friendly program takes approximately 5 months to complete.

8. Professional Certificate in Data Analysis for Decision-Making (RIT)

RIT

Get the skills you need to make quick, informed decisions with data. Learn how to analyze data and make sound business decisions.

Advance your data analyst skillset with the Professional Certificate in Data Analysis for Decision-Making from the Rochester Institute of Technology.

Courses

  1. Data Literacy Foundations – Get the skills you need to understand and use data to make better decisions. Whether you are new to data analysis or have been working with data for years, the data literacy foundations course will teach you how to use data to make informed decisions.
  2. Data Processing and Analysis with Excel – Get a grip on the data you work with and start manipulating it so you can get the insights and insights you need. This course will teach you how to use Excel to organize and clean data and make it easier to find and analyze with a variety of chart types.
  3. Data Representation and Visualization in Tableau – When you use Tableau to explore data, you can see the patterns and insights that matter most. In this course, you’ll learn about the functionality of Tableau and ways to represent data.

Skills Acquired

  • Data Processing
  • Microsoft Excel
  • Visualization
  • Tableau
  • Data Analysis
  • Data Cleaning
  • INFORMATION: This beginner-friendly program contains 3 skill-building courses and takes approximately 3 months to complete.

9. Data Analysis Career Path (Codecademy)

Codecademy

Gain insights that will help your business survive and thrive in the age of Big Data. The Data Analysis Career Path from Codecademy will give you the insights you need to make informed decisions, improve your bottom line, and increase your business efficiency.

Get a grip on the data that powers your business. Then, analyze it and make informed decisions based on it.  This program covers everything from Python 3 and SQL to Pandas, NumPy, and Matplotlib.

Courses

  1. Python Fundamentals – This course will teach you the basics of Python, from syntax to modules. You will be able to use Python for various tasks and complete a Python portfolio project.
  2. Data Manipulation with Pandas – Learn how to manipulate, wrangle, and analyze data in pandas including lambda functions.
  3. Statistics – Learn the basics of summary statistics, including how to use them to understand data and detect patterns.
  4. Data Visualization – Get a better understanding of your data so you can make better decisions. Take this data visualization course and learn how to use various data visualization tools to analyze your data.  At the end of this course, you’ll complete a portfolio project.
  5. SQL Analysis – Take the first step towards becoming a data analyst and learn how to use SQL to prepare for interviews. This course will teach you how to use SQL to grab information from tables, extract data from text files, and analyze data.

Skills Acquired

  • Python
  • Data Manipulation
  • Pandas
  • Statistics
  • Data Visualization
  • SQL Analysis
  • NumPy
  • Matplotlib
  • Seaborn
  • SciPy
  • Data Analytics
  • Hypothesis Testing
  • INFORMATION: This career path takes approximately 28 weeks to complete.

10. Professional Certificate in Data Analysis Basics with Excel (Davidson College)

Davidson College

Get the skills you need to analyze complex data and make informed decisions. Get a professional certificate in data analysis basics and start making sense of your data today.

The Professional Certificate in Data Analysis Basics with Excel is a beginner-friendly program that contains 2 skill-building courses and takes approximately 2 months to complete.

Courses

  1. The Essentials of Data Literacy Online – Get the skills you need to analyze data, manage it effectively, and visualize it for business purposes. Take the course and learn how to design, analyze, and visualize complex data using R with probability and statistical analysis techniques.
  2. Excel for Beginners – Get a head start on your career with our beginner’s Excel course. This course is designed to help you understand and use Excel tools to your advantage. This course will teach you how to make charts, pivot tables, and more.

Skills Acquired

  • Data Literacy
  • R
  • Statistical Analysis
  • Data Management
  • Microsoft Excel
  • Pivot Tables
  • INFORMATION: This online program contains 2 skill-building courses and takes approximately 2 months to complete.

Best Data Analyst Certification and Courses

Data analysts are critical to running data-driven organizations in today’s business environment. It’s no surprise that so many people are vying for these coveted roles.

But to stand out from the pack, you need to demonstrate your knowledge and understanding of data analysis.

By using skills learned on the job and in these data analyst training courses, the data analyst can increase their value proposition to potential employers.

Have you ever tried any of these data analyst certification courses before? If you have, we’d love to hear from you. Please let us know with a comment below.

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