Best Data Analytics Courses Online & Certification (September 2023)

There has never been a better time to upgrade your career. Nowadays, there is a high demand for data analysts, as they become a crucial part of any business to flourish and turn valuable data into revenues. With ever-growing datasets, more and more companies started hiring data scientists and analysts to organize their data and analyze them for business strategies.

As per the U.S Bureau of labor statistics, there will be a 20% rise in data analytics jobs in the market. It is an existing subject to learn and create your successful career by learning data analysis. If you want to explore more, check out the list of Best Data Analytics Courses and Certifications. 

Why is Data Analytics Important?

Top businesses and companies are using tools and technologies to perform data analysis on the derived insights. Data Analytics is important for businesses to optimize their performances and be able to make better decisions by analyzing customer trends and satisfaction.  

As per the U.S Bureau of labor statistics, data analytics jobs are expected to rise by 36%  from 2021 to 2031, substantially faster than the average for all occupations. The market for big data analytics is expected to be worth $ 105.08 billion by 2027, growing at a CAGR of 12.3% from 2019 to 2027. In 2023, customer analytics is anticipated to continue to rule the industry.

Also, the market for data analysts is expected to hit $133 billion by 2026 according to globenewswire. The average salary for a Data Analyst is $70676 per year in the United States. 

A team of researchers reviewed all the websites and compiled a list of the Best Data Analytics Courses.  Make your choice based on their pros and cons, as well as the quality of their content.

Our product recommendations are unbiased and based on an independent review process. We may receive a commission for links to recommended partners. See our advertiser disclosure for more information.

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Best Data Analytics Courses, Certification, Tutorials, Training, Classes Online

These are our picks for the best data analytics course:

• Best Overall Google Data Analytics Professional Certificate [Coursera]
  
  
• Best for Begineer IBM Data Analyst Professional Certificate [Coursera]
  
  
• Best for Intermediate Data Analyst Nanodegree Program [Udacity]
  
  
• Best for Advance Google Advanced Data Analytics Professional Certificate [Coursera]
  
  
• Best for Manager Business Analytics: From Data to Insights [Wharton Executive Education]
  
  
• Best for Tableau Complete Introduction to Data Analytics with Tableau [Udemy]
  
  
• Best for Python Data Analytics using Python and Fundamental [FutureLearn]

Google Data Analytics Professional Certificate [Coursera]

Prepare yourself as a data analyst with this Google Data Analytics Professional Certification. You will have a deep understanding of data analysis – a process of collection, organizing, and visualizing data in order to make informed decisions for business.  With a Google Professional Certificate, you may get started in the high-demand field of data analytics. You will learn how to handle and analyze data, use major analysis tools, use R programming, and generate visualizations that can help you mold future business strategies. 

What You’ll Learn

This Coursera Data Analytic Specialization is divided into 8 courses to understand each topic deeply:

1. Foundations: Data, Data, Everywhere: This course will teach you the critical analytical skills as well as technologies like spreadsheets, SQL, R programming, and Tableau.
   
   
2. Ask questions to Make Data-driven Decisions: This course will teach you effective questioning strategies that will assist you in driving insights and solve a range of real-world business problems.
   
   
3. Prepare Data for Exploration: You will learn how to check data integrity in this course. Able to determine data cleaning techniques using Excel sheets.
   
   
4. Process Data from Dirty to Clean: This course will teach you how to use spreadsheets and SQL to organize and format your data.
   
   
5. Analyze Data to Answer Questions: This course will help you learn data collection, organizing, formatting, and adjusting.
   
   
6. Share Data through the Art of Visualization: This course will introduce data visualizations, such as visual dashboards, and help you bring your data to life. Learning tools such as Tableau to perform data visualization and prepare yourself for entry-level data analyst positions.
   
   
7. Data Analysis with R Programming: In this course, you’ll learn about the programming language R and how to use R Studio, the environment that allows you to work with R.
   
   
8. Google Data Analytics Capstone: Discover the benefits and uses of case studies and portfolios in job searching. Find out what is asked in real-world job interviews. Take a look at different case study scenarios and consider them.

Course Instructor

This Online Data Analytic Certificate Specialization is designed by the team of Google Career Certificates, a top-rated instructor on coursera. By taking this Coursera Google Certificate, you will get access to the best training and tools to improve your skills and grow your career. 

Pros & Cons

Key Highlights & Learning Objectives

• Get a hands-on understanding of the procedures and processes employed by a junior or associate data analyst daily.
  
  
• Gain a deep understanding of key analytical skills and tools (data cleaning, analysis, and visualization) (spreadsheets, SQL, R programming, Tableau).
  
  
• Learn how to clean and organize data for analysis, as well as how to perform analysis and calculations using spreadsheets, SQL, and R programming.
  
  
• Learn how to use dashboards and presentations to visualize and present data insights.
  
  
• Access to free audit of course, case studies, capstone projects, and 10 hours of study a week. 
  
  
• Earn a Google Professional Certificate after completing this course with the Capstone project. 

Who is it for?

This beginner data analytic specialization courses is for those who want to get started in the field of data analytics and attract data analyst or business analyst positions in any company. It doesn’t have prerequisites so anyone can enroll in this demanding specialization certification. After completing the Google Professional Certificate Program, you will master concrete skills that top employers are hiring for right now.

Data Analyst Nanodegree Program [Udacity]

Take this Udacity Data Analyst Tutorial Program to discover how to utilize Python, SQL, and statistics to get insights, communicate crucial discoveries, and develop data-driven solutions. This Udacity Data Analytics Program will assist you in mastering advanced programming abilities as well as honing your ability to work with messy, complex datasets. You will also learn how to handle and prepare data for analysis, as well as how to develop visualizations for data exploration. Eventually, you will be able to apply your data abilities to convey a data-driven story.

Course Instructor

Learn with the best instructors of Udacity Data Analyst Nanodegree Program. You will work on your skills with top instructors, including Derek Steer- CEO at Mode, Juno Lee- Lead at Udacity, Mike Yi- a content developer, David Venturi, and Sam Nelson

What You’ll Learn

• Introduction to Data Analysis: This module will help you get a better understanding of data analysis, including wrangling, exploring, analyzing, and communicating data. Using NumPy and Pandas, you can explore and manipulate data in Python.
  
  
• Practical Statistics: In this module, you will apply inferential statistics and probability to real-life scenarios, such as analyzing A/B tests and creating supervised learning models.
  
  
• Data Wrangling: With this module, you will learn about the data wrangling process of collecting, analyzing, and cleansing data. You also build knowledge of how to use Python to programmatically manipulate and prepare data for analysis.
  
• Data Visualization with Python: In this module, you will discover how to apply visualization principles to data analysis. It gives a chance to explore data at different levels and uncover insights and tell a compelling story.

Pros & Cons

Key Highlights & Learning Objectives

• Analyze, explore, and communicate data using the data analysis process.
  
  
• Using Python libraries such as NumPy and Pandas, you will be able to manipulate data and work with it.
  
  
• Learn how you can apply inferential statistics to real-world scenarios, such as analyzing A/B tests and creating supervised learning models, by applying inferential statistics and probability.
  
  
• Discover how to wrangle data by collecting, assessing, and cleaning it.
  
  
• Understand how to use Python to handle data programmatically, prepare it for analysis, and use visualization principles to present the data.
  
  
• Visualize data at multiple levels to uncover insights and create a compelling story based on it.

Who is it for?

This online Udacity data analyst nanodegree program is for those who want to advance their programming skills and use analytics for complex data. To be successful in this program, you need to have prior experience dealing with data in Python (such as NumPy and Pandas) and SQL. With the completion of this program, you can advance your career and land a high-paying job.

Google Advanced Data Analytics Professional Certificate [Coursera]

Improve your abilities by taking this Professional Certificate from Google and advance your data analytics profession. You will learn cutting-edge skills in machine learning, Python, regression modelling, and statistical analysis. This online Data Analytic training program will provide you 200 hours of instruction and hundreds of practice-based tests to practice advanced data analytics scenarios that are essential for professional success.

Course Instructor

Boost your career with sophisticated data analytics abilities by taking this Google Python Certificate Program. The whole curriculum is designed by Google employees with decades of experience in cutting-edge data analytics and data science.  Using Jupyter Notebook, Python, and Tableau, practical, hands-on projects will help you to increase your expertise.

What You’ll Learn

This Professional Python Data Analytic Certification is a series of 7 courses, which introduce you to advanced data analytics tools and platforms. 

• Foundations of Data Science: This course will begin from introducing the role of data professionals in the workplace. Additionally, you’ll discover more about the PACE (Plan, Analyze, Construct, Execute) project approach and how it may help you manage data projects.
  
  
• Get Started with Python: You will master the fundamentals of Python programming in this course, as well as how Python is used by data professionals.
  
  
• Translate Data into Insights: This course will teach you how to uncover the story hidden in the statistics and present it in an engaging manner. You’ll learn how data professionals utilize storytelling to comprehend their data more fully and convey important insights to coworkers and stakeholders. 
  
  
• The Power of Statistics: By completing this course, you will develop knowledge of how to use statistics to examine data and derive significant conclusions. You’ll study fundamental ideas including probability, sampling, confidence intervals, descriptive and more  and get to practice your findings like a data expert. 
  
  
• Regression Analysis: In this course, you will learn how to simplify complex data relationships using data modeling techniques and how to apply them when solving business problems.
  
  
• The Nuts and Bolts of Machine Learning: You will study machine learning in this course, which teaches computer systems to find patterns in data by using algorithms and statistics.
  
  
• Capstone Project: As part of your capstone project, you’ll put your newly acquired knowledge to practice by creating data visualizations and analyzing and interpreting data using statistics. 

Pros & Cons

Key Highlights & Learning Objectives

• Learn how data analysts and data scientists examine the functions for the business. 
  
  
• Build a deep knowledge by studying data for creating data visualization and using statistical techniques. 
  
  
• Master the art of building regression and machine learning models for data analysis and interpretation. 
  
  
• Create and assess supervised and unsupervised learning models using Python and  choose the right model and metrics for a machine learning algorithm.
  
  
• Learn to examine data and identify patterns and trends and advance your knowledge of data analysis. 
  
  
• Get lifetime access to this 7 course series and earn a career certificate after finishing each course in this Professional Certification Program.

Who is it for?

Large amounts of data are gathered, analyzed, and interpreted by highly skilled data specialists. Data analysts need to manipulate data sets using advanced  analytical tools like machine learning, predictive modeling, and experimental design. It is intended for holders of the Google Data Analytics Certificate or those with comparable experience in data analytics. With the help of this Data Analysis Certification, you can advance your career by building on your knowledge and experience in data analytics.

IBM Data Analyst Professional Certificate [Coursera]

This Data Analyst program will help you to gain job-ready skills to get an entry-level job. This online data analytics course provides data analysis tasks such as data mining and data wrangling, analyses data using tools and frameworks, including Python, SQL, Jupyter Notebooks, and develops knowledge of IBM Cognos Analytics to create interactive dashboards.

Course Instructor

The IBM Data Analyst Professional Course from Rav Ahuja( IBM Global Program Director) and 8+ instructors is a top-notch choice to power your data analyst career. Upon this course, you will grasp a firm hand to analyze real-world databases and gain practical experience to manipulate data and apply analytic techniques.

What You’ll Learn

This IBM Data Analyst Certification consists of a series of 9 courses, where each helps you to prepare for a career in Data Analytics. 

1. Introduction to Data Analytics: This course will explain what data analytics is and the key process of data analysis. You will learn the different types of data structures, file formats, and sources of data.
   
2. Excel Basics for Data Analysis: With this course, you will gain knowledge on how to use excel for data analysis. It will help perform basic tasks including data entry, importing and cleaning data in excel.
   
3. Data Visualizations with Excels and Cognos: With this course, you will learn to create graphs, including line, bar, and pie charts using Excel Spreadsheet. Build advanced visualizations including Treemaps, Sparklines, Scatter Plots, and interactive dashboards using Cognos and Excel.
   
4. Python for Data Science, AI, and Development: this course is specially designed to teach  the fundamentals of Python, such as data types, expressions, variables, and data structures. Also, develop command of Python libraries like Pandas, Numpy, and use it for Python’s APIs.
   
5. Python Project for Data Science: Implement the fundamentals of Python and work as a data analyst on this project. With this  Project, you will build a dashboard using Python libraries such as Pandas, Plotly, and Beautiful Soup.
   
6. Databases and SQl for Data Science with Python: This course will teach you how to analyze data using SQL and Python. Additionally, you will learn to write SQL statements such as SELECT, INSERT, and DELETE.
    
7. Data Analysis with Python: This course will help you in writing Python code to format, normalize, bin, handle missing values, and clean up data before it is ready for analysis. Using libraries like Pandas, Numpy, and Scipy.
   
8. Python for Data Visualization: You will learn to use plots and data visualization techniques  using Python packages like Matplotlib, Seaborn, and Folium. Create charts and plots, including line, area, histograms, bars, pies, boxes, scatter plots, and bubble plots.
   
9. IBM Data Analyst Capstone Project: With this Capstone Project, you can show different techniques to collect and wrangle data and use the proficiency in Python by using libraries for analyzing and visualizing the data.

Pros & Cons

Key Highlights & USPs

• This data analytics certificate course is for beginners who do not require any prior programming knowledge. Any learner with or without a degree is suitable.
  
  
• You will learn to implement technical skills with hands-on projects and soft skills to engage your audience by storytelling with data. It also helps you to build a strong portfolio.
  
  
• You will get the chance to implement your analytical skills on the Capstone project and complete it with the help of instructors.
  
  
• Develop deep knowledge to effectively millions of data, wrangle them using excel spreadsheets, and visualize data.
  
  
• In the end, you will get a certificate to share with your professional network.

Who is it for?

This professional certificate is the best data analytic course to enrich your profile. If you have basic computer literacy and are comfortable with math and numbers, then enroll now.  This Online Data Analyst Certificate is for beginners with no prior programming knowledge. Achieving this Professional Certificate will prepare you for an entry-level role in Data Analytics. You can enhance your current career in several industries, such as marketing, finance, and research, using your analytical skills.

Complete Introduction to Data Analytics with Tableau [Udemy]

This Udemy Data Analytics course is one of the most comprehensive courses to kickstart your career in Data Analytics. You will learn to build interactive dashboards to publish on Tableau. This program prepares you to master analytical skills. It will help you to understand how to connect data sources from Excel files to SQL data servers. Data experts will teach the core principles of data analysis and using analytics tools such as Tableau, Jupyter notebooks.

Course Instructor

The Complete Introduction to Data Analyst Course is taught by Dee Naidoo, a tableau enthusiast and technical architect at Vintage Data. This platform is a golden opportunity to enrich your resume to showcase your skills to potential employers.

Pros & Cons

Key Highlights & USPs:

• The course includes 10 sections, 51 lectures, which have a time length from 5 minutes to 1 hour. The whole course is 8 hr 38 minute length with detailed video lectures.
  
  
• Develop interactive dashboards that update daily via google sheets and share online.
  
  
• Get the understanding to create charts, maps, donut charts, tables, and dual-axis charts.
  
  
• Develop an understanding of how to connect a variety of data sources to Google sheets and cloud servers.
  
  
• Get the chance to work on five real-life case studies and projects to understand the practical aspects.
  
  
• Create sets, hierarchies, groups, and parameters to understand the level of detail calculations.
  
  
• Get full lifetime access to 32 downloadable resources, articles, assignments, and certificates of completion to strengthen your resume.

Who is it for?

Any professional or student who can opt for with or without a degree wants to be a Data analyst and learn more about Tableau. After the completion of this program, By taking this Udemy data analytics tutorial, you become a highly proficient tableau user and learn to use it for personal and professional projects.

Excel to MySQL: Analytic Techniques for Business Specialization [Coursera]

This Coursera Business Analytics specialization program is the best choice for beginners who want to learn how to drive business insights and work on business strategies to grow. You will learn to frame business issues as data operations, run them to explore and visualize datasets. This specialization course is to set yourself in the competitive market and a deep understanding of how to use powerful and analytical tools such as Excel, MySQL, and Tableau.

Course Instructor

Daniel Egger and Jana Schaich have designed this Excel to MySQL Business Analytic Specialization course. They will guide you through all the five courses available in this specialization to understand the analytic techniques used to make strategic business decisions.

What You’ll Learn

This Data Analytics Specialization for Business is divided into 5 courses:

1. Business metrics for data-driven: You will study the best practices for applying information analytics to increase the competitiveness and profitability of any firm in this course.
   
   
2. Mastering Data Analysis in Excel: You will be prepared by this course to develop and use data-driven, realistic predictive models. Also, this course will teach you how to create two distinct prediction models to decide which credit card applicants should be approved and which should be denied.
   
   
3. Data Visualization and Communication with Tableau: You will learn how to become an expert at presenting data analysis implications that are relevant to business in this course.
   
   
4. Managing Big Data with MySQL: This course will introduce how relational databases function and utilize entity-relationship diagrams to display the structure of the data stored. 

Pros & Cons

Key Highlights & USPs:

• In this specialization, you will learn how data analytics works for any business and generate more revenue.
  
  
• You will get the process of analyzing data, create forecasts, models to design visualization, and turn data into profits.
  
  
• It also includes a chance to do hands-on projects such as the Capstone project to apply your skills and justify improvements on real-life businesses.
  
  
• Learn how to use spreadsheets for analyzing datasets and run database queries to communicate with valuable insights.
  
  
• Full lifetime access to this course and earn a shareable certificate upon completion.

Who is it for?

This Coursera data analysis specialization is available for beginners who want to start a new career as a Business analyst. One can instantly enroll in this for free and learn on their schedule.  You need no prior experience to take this beginner data analytic specialization. By the end, you will be able to attract opportunities to work as a data analyst in reputed companies.

Business Analytics: From Data to Insights [Wharton Executive Education]

This Wharton Business Analytics Course is professionally designed for tech leaders and managers who want to learn how to drive strategies to make better decisions. Business Analytics is an opportunity to dive into datasets and turn them for value. The Business Analytics program gives a better learning experience to look at large datasets and identify valuable business insights to improve their performance. Companies like Netflix use business analytics to recommend shows to their audience. Business analysts have the analytical abilities for long-term predictions and prepare an organization for future actions.

Course Instructor

Instructors of Wharton University of Pennsylvania will help you build business analytical skills for future jobs. Experienced professors and faculty directors including Christopher D. Ittner, Raghuram Iyengar, Senthil Veeraraghavan, Eric Bradlow and more will teach how to unlock your business success with data-driven decision making.

Pros & Cons

Key Highlights & USPs:

• This course is divided into 9 modules which explain each topic in detail.
  
  
• You will learn the complete business analytics course via live videos and online lectures from Industry Experts.
  
  
• Get to understand the concepts through individual assignments and valuable feedback.
  
  
• There will be four live teaching sessions by Wharton Faculty.
  
  
• Gain firm grasp on the business implication of analytics by applying analysis on real-life examples.
  
  
• Get the chance to run one data analytics simulation.

Who is it for?

This Business Analytics Program is for professionals who are in a high position in any organization. CEO managers, senior-level managers, and consultants can opt to keep pace with current trends and use business analysis as a strategic tool to improve business performance while growing in their roles.

Data Analysis with Pandas & Python [Udemy]

This Udemy Data Analysis online course is the bestseller course to learn data analysis with Python. You will find this course easy to understand how to analyze data easily and quickly using powerful pandas libraries. This program will give a chance to perform data operations in Python’s library Panda. It includes grouping datasets, pivoting, and joining them. You will get to work with exciting tools such as Jupyter notebooks to run code.

Course Instructor

The Ultimate Pandas and Python Data Analysis Course is taught by Boris Pashkaver. He guides his students with comprehensive approaches to understand the concept of data analytics. It is the best comedy course to expand your knowledge of the most popular libraries.e and manipulate the datasets.

Pros & Cons

Key Highlights & USPs:

• It has designed for beginners who want to become data analysts.
  
  
• Learn to resolve common issues in broken datasets and possess the knowledge of 1D, 2D, and 3D datasets manipulation.
  
  
• Get a firm grasp of the python programming language and improve the performance by performing coding exercises.
  
  
• It is a quick Bootcamp to learn the fundamentals of the Python programming language. It is for those who lack knowledge of Python.
  
  
• You will get full lifetime access to 11 articles, four downloadable resources, and eight coding exercises.
  
  
• In the end, you will get a completion certificate to add to your resume and circulate to get a high-paying job.

Who is it for?

This online Data Analysis Course is for professionals and graduates who are thinking to build a successful career in data science. After completion of this Data Analysis with Python Course, you will gain confidence to use what’ve learned for your work or job. If you are new to Python, look at the list of best Python Online Courses.

Data Analytics: Hand-on [Pluralsight]

This Pluralsight Data Analytics tutorial course introduces you to the basic concepts of data analysis. It will brush your knowledge through data mining to data visualization. This course provides all you need to know about the world of transforming data into value. You will get easy access to real-life case studies to collect the data and visualize it using Excel spreadsheets.

Course Instructor

Ben Sullins guides you through this most popular Data Analytics course on Pluralsight. He works with companies to improve business performance using their data. This training program will develop your technical skills and light a spark to dig into the deep data-driven culture.

Pros & Cons

Key Highlights & USPs:

• Learn all the fundamentals and improve your hands-on skills.
  
  
• Even if you have no to less experience with data analysis. This course will teach you what, why, and how to use the concepts.
  
  
• Understand how to collect data insights and view them using tools like excel or google sheets.
  
  
• This short course is to prepare you for a new career path as a data analyst.
  
  
• Get full lifetime access to this course.

Who is it for?

This Pluralsight data analytics online course is the ideal one if you are already working in the data world. It will help you transform your career by teaching key concepts and skills. With this beginner data analytic training course, you can increase chances of getting high paying jobs and get promotion in the existing company.

The Data Science Course: Complete Data Science Bootcamp [Udemy]

This Udemy Data Science Training course is an entire toolbox to prepare you as a data scientist. You will get an overview of data science and chapters to let you through this subject. This complete training program covers all the topics such as Python, mathematics, statistics, and machine learning. It guides you through understanding the mathematics behind machine learning to perform algorithms in Python.

Course Instructor

Under the guidance of talented experts, you will study this Complete Data Science Bootcamp program. Any Professional that has no prior degree in data science can enroll in this. The motto of this course is to make you a highly skilled data scientist. So you can apply your deep understanding of analytical skills to real-life business cases.

Pros & Cons

Key Highlights & USPs:

• This Udemy Data Science Bootcamp consists of 65 sections, 517 video lectures and each lecture length varies between 3 mins to 1 hour.
  
  
• It fills you up with skills that are in high demand that includes statistical analysis, machine learning, Data Analysis, pandas, seaborn, and more.
  
  
• You have a chance to learn how to process data and code in the Python programming language.
  
  
• You will grasp the concept of how to use Deep Learning frameworks such as Google TensorFlow to develop business insights and solve tasks with big data.
  
  
• Work on real-life projects and get more practical exposure to brush your skills.
  
  
• It gives full lifetime access to 501 downloadable resources, 90 articles, and a certificate of completion to share with your potential employers.

Who is it for?

This Data Science Bootcamp Course is for students and professionals who have a basic knowledge of installing programs and Microsoft excel. It doesn’t require any experience to take the course. By completing this Udemy online data science course, you will be able to apply for jobs as a data scientist.

Data Analytics using Python and Fundamental [FutureLearn]

This Futurelearn data analytics course online is to learn the fundamentals of data analysis using Python and statistics. You will grasp the idea of how to collect data, organize and manipulate datasets using databases and other technologies. This data analytics course will teach you how to use Python programming codes confidently for analyzing large datasets and support data wrangling and ingestion. After the completion, you will get a deep understanding of different analytic techniques.

Course Instructor

Ed Marks has been teaching this Data Analytics and Fundamental Python course to take you on a journey of learning a range of beginner and advanced techniques. It enables you to find out the different analytic methods to turn data into value.

Pros & Cons

Key Highlights & USPs:

• It gives you a chance to boost your career while solidifying your knowledge of Python.
  
  
• Gain the job-relevant skills to stand out from the crowd.
  
  
• Develop critical employability skills and strong knowledge to set yourself apart from the candidates when applying for any job.
  
  
• Learn to use Jupyter Notebook to organize and structure them to use for analysis.
  
  
• Work on real-life cases.
  
  
• Upon the completion of this course, Earn a digital certificate to share with your network or employers.

Who is it for?

This intermediate data analytic course is suitable for business analysts or junior data analysts looking forward to improving their data analytic skills and programming capabilities to achieve a promotion. Any student who lacks an understanding of Python language and data analytics can also join this course. This Data Analytics using Python training program is one of the best data analytic courses to boost your career.

Data Analysis Courses [edX]

Edx is one of the most popular platforms for online courses. It is the perfect place to look for data analysis courses from top-notch institutions and universities like IBM, Harvard, and Microsoft. It is for any person who is looking for a career change. It has both paid and unpaid courses to explore your knowledge and boost your career.

If you are willing to learn data analysis and data science, you can begin with Edx data analysis courses. Some of the courses are Data Analysis with R, Excel, Python programming language, SQL Databases, and Tableau.

Pros & Cons

Key Highlights & USPs:

• You will get the best opportunities to learn from world-recognized leaders and universities to help you through every stage of learning.
  
  
• It provides free online courses so any person can upgrade their knowledge regardless of their background and learn new skill sets for the betterment.
  
  
• It’s a golden chance to add skills to your resumes such as data analytics, Big data, data science, Business Analytics, Algorithms and Data Structures, and more.
  
  
• The courses will cover a wide range of topics such as C++, R programming language, Data Mining, Deep Learning, Data management, and many more.
  
  
• All the online classes and courses meet the expectation of the end-user requirements.
  
  
• You will get a digital certificate If you opt for paid courses. That will help you to go for big companies and land an entry-level data analyst job.

Who is it for?

edX Data Analysis courses are designed for those who are interested in building a successful career in data analytics. Anyone can enroll based on their knowledge and experience-level with topics. By the end of edX courses, participants will master the art of using tools and technologies for analyzing and manipulating data.

Become A Data Analyst Learning Path [Linkedin Learning]

This LinkedIn Data Analyst Learning Path program is all you want to know. This learning program is easily accessible to professionals and students to explore this high-demand career path. You will get the chance to know about the data analysts, what they do and how they apply their analytical knowledge to visualize the data on dashboards. It presents you with a learning path to dive into the basics of data analytics.

Course Instructor

Become A Data Analyst Course is taught by Barton Paulson ( Developer and Data Analytics Expert ) and other 5 + experts to guide their deep knowledge. It is one of the best free data analyst courses to learn data analyzing, mining, and visualization.

Pros & Cons

Key Highlights & USPs:

• Get 13 courses to become a data analyst with this Linkedin Learning specialization program.
  
  
• Learn technical skills by using analytical tools and developing data insights.
  
  
• Guide you to use Microsoft Excel to perform data analysis and turn the information into artwork.
  
  
• Work on complex ideas to visualize the data on dashboards and engage your audience. It will help to strengthen your communication skills, teamwork, and problem-solving skills.
  
  
• Get full lifetime access to a 24-hour long course and get the certification of completion of this course.

Who is it for?

This data analytics training is for those who have a keen interest in becoming a high-proficient Data Analyst. It is a complete course that helps you with all concepts of data analytics. Upon completion, you will master the art of data analysis and share your accomplishments on LinkedIn to get relevant jobs.

Data Analytics with R Certification Training [Edureka]

This Edureka Data Analytics online course covers Business Analytics and Business Intelligence to solve analytical problems with the R programming language. This program will teach you R programming, Data manipulation, Data mining, exploratory Data Analysis, and Data visualization using R studio. Learning R is the most popular way to improve your knowledge and become a Data Analyst.

This Data Analytics course is taught by Data Scientists who have a deep understanding of using R tools. It is one of the best data analytics training programs on Edureka to master this most preferred tool for entry-level Data Scientists.

Key Highlights & USPs:

• You will learn the concepts around Business Intelligence and Business Analytics. Also, you will get to explore various machine learning techniques.
  
  
• R programming gets a firm grasp to use algorithms such as decision trees, Logistic Regression, Support Vector Machines, and derive business insights.
  
  
• This well-designed course is for students and professionals to enhance their analytical skills and technical skills.
  
  
• You will perform R using the IDE R studio and an approach to understand the GUI. Whatever you learn allows you to apply to case studies from social media, Retail.
  
  
• With the completion of this program, you get a completion certificate to get a job as an associate analyst in 1000 + companies like DELL, CISCO.

Who is it for?

This Online Data Analytics Certification is a must-learn opportunity for programmers and developers aspiring to be R programmers. If you also aspire to be a business analyst who wants to gain expertise, this is the right training course. However, you must have a basic understanding of computer programming languages. With the completion of this Data Analytics with R programming course, you will master the most popular analytics tool for your projects.

Frequently Asked Question

Final Words

After reading this blog, are you getting a vibe to pursue data analytics? Then, Geektonight is the right place to help you. I hope you can find a suitable course to enroll in.