10 Best Data Analytics Courses Online with Certification in 2026: Fees and Reviews

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Collegedunia Team

Content Curator | Updated 3+ months ago

Online Data Analytics Courses allow students to study at their own pace and from anywhere in the world. Moreover, they can help students to learn the technical skills required for their job role as Data Analysts.

A number of virtual learning platforms offer Data Analytics courses online. The top platforms in this category are Coursera, Udemy, Simplilearn, and UpGrad. Coursera, Simplilearn, and UpGrad offer online Data Analytics courses in collaboration with top Universities and companies. For example, Coursera offers Google Data Analytics Professional Certificate which is developed by Google Career Certificates. UpGrad offers courses in collaboration with institutes like IIIT Bangalore and MICA. The article mentions the 10 best Data Analytics courses with placement opportunities.

1. Data Analyst Nanodegree

Data Analyst Nanodegree by Udacity will help the students to gain the knowledge and skills that are needed to build a career in Data Analytics. The program includes 1-on-1 mentor calls, and one-of-a-kind career support services, in addition to covering both theory and practical exercises. If students do not meet the prerequisites for this program, there is a similarly structured beginner-level Nanodegree available called Programming for Data Science. Students with prior experience with Python (particularly NumPy and Pandas) and SQL programming are best suited for this program. The beginner-level program covers exactly what students need in the fundamentals of Python programming from a data science standpoint.

2. Data Analyst with R - DataCamp

Data Analyst with R by DataCamp offers bite-sized learning materials curated by data industry professionals. The Data Analyst with R Career Track at DataCamp is made up of 19 data science analytics courses handpicked by industry experts to help students launch a career in data science. Because each course is approximately 4 hours long, the entire track should take approximately 77 hours to complete. It will assist students in obtaining their dream job in data analysis regardless of how much free time they have to study. Students after completing this course will be able to manipulate and analyze data using R.

3. Data Analytics Immersion - Thinkful

Data Analytics Immersion by Thinkful is as close to personalized learning as students can get, with a customized schedule, 1-on-1 mentorship, and 24/7 support from instructors. Although it is one of the more expensive data analytics courses available (it costs $12,250), it claims to take the students from beginner to expert in four months. When students enroll in the course, students will be given a personalized schedule to help them stay on track. Thinkful's Data Analytics Immersion is a full-time, intensive training program. The curriculum is divided into seven sections: Excel Foundations, Data Storytelling, SQL Foundation, Tableau, Business Research, Python Foundations, and Capstone Phase. Students not only complete two culture fit interviews during the Capstone Phase, but they also build a final project. Students are expected to spend around 50-60 hours per week. 

4. Data Science Specialization - Coursera

Data Science Specialization is a ten-course program offered by Coursera in collaboration with the prestigious John Hopkins University that helps students understand the entire data science pipeline at a basic level. The curriculum is delivered through videos and additional readings. Although anyone can enroll in this course, students should have some experience with Python and some knowledge of regression. The program concludes with a hands-on project in which students create a usable data product. 

5. Business Analytics Specialization - Coursera

The goal of this five-course series is to teach students how to use big data to make data-driven business decisions in finance, human resources, marketing, and operations. The Business Analytics Specialization, developed by the University of Pennsylvania's Wharton School and hosted on Coursera, is divided into four discipline-specific courses. Students will also get a chance to work on a Capstone Project designed in collaboration with Yahoo. The entire Specialization takes about 40 hours to complete, which means that students can complete the program in as little as six months if they study three hours per week. 

6. Excel to MySQL: Analytic Techniques for Business Specialization - Coursera

Analytic Techniques for Business Specialization Duke University offers this course, which is also available on Coursera. Analytic Techniques for Business Specialization is an introductory course that teaches students how to extract as much information as possible from their existing data. Students must make a recommendation on how a business can increase its profits as part of this project. Each year, ten students will receive feedback on their projects from data scientists at Airbnb. Students will work on a Capstone Project which is sponsored by Airbnb towards the end of the course. There are five courses in the program. Students begin by learning best practices for using data analytics to make a business more competitive before progressing to Excel, Tableau, and MySQL classes. Every course concludes with a project. For example, at the end of the third course, students must deliver a five-minute presentation on how a company can increase the number of tests that users complete.

7. Big Data Analytics with Tableau - Pluralsight

The course aims to focus on big data analytics and how to use Tableau to access and visualize big data. Big Data Analytics with Tableau from Pluralsight will not only improve students’ understanding of big data but will also teach the students how to access big data systems using Tableau Software. Ben Sullins, who has 15 years of industry experience and has provided consulting services to companies such as Facebook, LinkedIn, and Cisco, teaches the course. Sullins imparts his knowledge to students in the form of bite-sized chunks of content. Students should have some experience with data analytics. If students are complete beginners, consider taking Sullins' Data Analysis Fundamentals with Tableau course.

8. The Data Science Course 2023: Complete Data Science Bootcamp - Udemy

While the course is not new, having first been covered in 2020, it has been updated for 2023 with new learning materials. Data Science Course 2023: Complete Data Science Bootcamp, which is available on Udemy, is a comprehensive data science course with 471 lectures. There are nearly 30 hours of on-demand video, 90 articles, and 154 downloadable resources in the lectures. Students can expect to learn in-demand data science skills such as Python and its libraries, machine learning, statistics, and Tableau as part of this course. The course will cost students several hundred dollars. Although the course may appear to be daunting at first glance, it is actually well-structured and requires no prior knowledge. However, because Udemy offers generous discounts on a regular basis, students can get the course for less than $20. In any case, this course is a steal, especially considering students get lifetime access to it as well as any future updates.

9. Become a Data Analyst - LinkedIn Learning

There are no prerequisites for embarking on this educational journey. Students don't even need to understand what data analysis is. This path is made up of seven courses: Learning Data Analytics, Data Fluency: Exploring and Describing Data, Excel Statistics Essential Training: 1, Learning Excel: Data Analysis, Learning Data Visualization, Power BI Essential Training, and Tableau Essential Training some of the topics covered in this course. The length of each course varies. Most courses, however, are between two and four hours long, so students can complete the entire path in about 24 hours. Some courses contain quizzes, and all courses include a Q&A section where students can ask the lecturer questions about the course. The course begins with a definition of data analysis before teaching students how to identify, interpret, clean, and transform data.

10. Data Analytics Bootcamp - Springboard

The Bootcamp covers basic business statistics concepts as well as advanced analysis techniques, as well as how to use analytics and visualization tools such as Excel, Python, SQL, Tableau, and Microsoft Power BI. Data Analytics Bootcamp, created by Springboard in collaboration with Microsoft, is a six-month career-focused program with a job guarantee. The entire course takes approximately 320 hours to complete, or 6 months. Most students devote 15 to 20 hours per week to the course. In addition, each student receives unlimited mentor calls and 50+ hours of career support.

10 Best Data Analytics Courses Online: FAQs

Ques. Which is the best institute to pursue an online Data Analytics course?

Ans. IMS Proschool, Imarticus Learning, and Edvancer are some of the top institutes to pursue an online Data Analytics course.

Ques. Is it better to do an online Data Analytics course from websites like Udemy or Coursera or from a training institute?

Ans. When you pursue an online Data Analytics course there is a limitation of practical exposure and project-based training. If you pursue a Data Analytics course from an institute you get to work on live industry projects under the guidance of mentors. They also get the opportunity to attend practical workshops.

Ques. Where can I find free Data Analytics courses?

Ans. Google, Online Youtube channels/blogs, Udemy, and Coursera have free Data Analytics courses. Free Data Analytics course is a better option when it comes to learning the basics of Data Analytics. There are several platforms that offer free Data Analytics courses, some of these offer in-depth course content in the form of video lectures and audio transcripts while some contain only slide presentations. 

Ques. How do I select an online Data Analytics course?

Ans. Candidate must check the following points while choosing an online Data Analytics course.

  • Make a list of the top 5 Data Analytics institutes and platforms that have good Google ratings.
  • Check their official website and go through the course curriculum. Make sure that the institute or platform covers every topic or skill you want to learn.
  • Compare the course curriculum with the duration and tuition fee. Make sure that whatever they are about to offer is directly proportional to how much you are going to invest in terms of time and money.
  • Check out the course reviews from the website, Google ratings, and platforms like Quora. 
  • Check whether they offer job assistance and conduct career workshops.
  • At last, choose an institute that also offers practical training than just theoretical lectures.

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