Best Data Analytics Courses Online 2025

16 Best data analytics courses online to become a data analyst.

Data analysis is now the leading pathway to business optimization. By reviewing raw data, businesses can make informed decisions about critical operations and uncover information valuable to business continuity. This makes data analysts some of the most desired professionals in tech operations.

With the acute demand for data analysts and the number of professionals sufficiently equipped with the required skill set surprisingly low, the former can command excellent salaries and incentives even at the entry or intermediate level. This post gives you a tour of the best online data analytics courses for starting a career in this field.

Overview 

Business operations are driven by multiple initiatives to drive revenue, support decision-making, or reach conclusions. These initiatives, in turn, depend on analyzing, categorizing, refining, and modeling raw information collected in huge data pools.

Skills – Data analytics is the process of inspecting raw information to reach profitable conclusions. The skillset for a successful data analyst includes problem-solving ability, a methodical and analytic aptitude, and familiarity with key programming languages such as SQL, Python, and Oracle.

Most of these are covered in online entry-level and intermediate data analytics courses. Keep in mind that data analytics is different from data science. While there is a tendency to use the terms interchangeably, the two differ in scope.

Analytics vs Science – Data Analytics aims to uncover trends within a data set. Data Science (browse courses), on the other hand, focuses on predictive modeling and machine learning. A data scientist determines which questions to ask next, while data analysts answer the questions already.

Best Data Analytics Courses Online 2025

Udacity	GetSmarter	DataCamp
Data Analyst	Data Analysis Management	Data Analyst Python
Nanodegree	LSE CPD Certification	Career Track
from $106/month	$1,900	$25/month
View Course	View Course	View Course

*Disclaimer: This post contains affiliate links. Read the full disclosure at the end of this post.

We have prepared a comprehensive list of the best online data analytics courses to help you make a more informed decision about the programs that fit your current learning level.

1. Become A Data Analyst – Udacity

Udacity’s Become a Data Analyst (visit website) drills aspiring analysts in SQL, Python, and statistics to uncover key insights and yield data-driven solutions. With Python and SQL being course prerequisites, students should bring prior experience managing Python standard libraries, specifically importing Pandas and NumPy into the data set. 

The nanodegree enables learners to advance their skillset in manipulating datasets, creating visualizations, and exploring data for critical solutions. Key focus areas include wrangling data to detect weather trends, applying inferential statistics to real-world cases, and data visualization to help create gripping stories.

It’s an intermediate-level course that will help refine your ability to inspect, transform, and model complex and messy data. All of this comes with the platform’s support to help launch your career. With access granted to resume support, LinkedIn optimization, and GitHub portfolio review, you set yourself up for an intense job.

This is one of the best online data analytics courses for those with an ambitious career plan. You will learn from the best and get excellent support; a job is almost guaranteed.

Instructors: Josh Bernhard, Sebastian Thrun, Derek Steer, and others
Prerequisites: Python & SQL
Info: View Course on Udacity. All-access plans start from $106/month. Get 50% off.

2. Data Analysis for Management – London School of Economics

The London School of Economics and Political Science has authorized this 8-week online data analysis course (visit website) for managers and data analysts tasked with making informed data-driven decisions to secure a competitive advantage in any industry.

This class has no prerequisites, although some numerical literacy will help you quickly complete the program. This class is primarily directed at future-focused leaders who wish to expand their qualitative skills to inform corporate decision-making.

You will begin your management shaping journey with an introductory course on decision-making under uncertainty before moving on to the more complex concepts of data visualization and descriptive statistics. Students will learn about quantifying risk through probability, data integrity, and statistical interference.

The final modules deal with evidence-based decision-making and causal understating, followed by in-depth coverage of time series forecasting and delivering insights through storytelling. By the end, you will have a sound understanding of interpreting data and communicating findings using data analytics, visualization software, and Tableau.

Subject: Analysis, Business | Duration: 8 weeks | Certificate: CPD Certified.
Level: Professionals | Pace: Instructor-lead | Price: $2,249
Info: Visit course website. Get free prospectus. Browse all courses on GetSmarter.

3. Data Analysis and Visualization Foundations – Coursera

Coursera offers a popular specialization in data analysis (visit website) that is authorized by IBM. Subscribing to the specialization provides access to all data analytics courses within the program. Students will begin with a gentle introduction to the core concepts in data analysis, including data ecosystems, data analytic tools, and other fundamentals.

Concepts complicate gradually. The following courses cover Excel spreadsheets in data analytics that involve filtering and creating pivot tables and the basics of using spreadsheets for data visualizations.

Coursera does not mandate prior experience for students. Both entry-level learners hoping to choose a career in data analysis and learners who wish to master Excel spreadsheets in their respective fields can apply.

With courses rated at 4.7 and beyond, students are equipped with essential skills in creating and communicating data visualizations using Cognos and Excel. Once you complete a course, you can earn a certificate to display on your resume, profile, or Github portfolio, inflating your chances of landing an entry-level data analyst position.

Duration: 4 months | Certificate: Coursera Plus
Info: View course on Coursera. Browse: Search all related analytics courses.

4. Data Analysis – University of Cape Town 

Data Analysis (visit website) authorized by the University of Cape Town is another 8-week program aimed at data analysts and individuals to help them advance their careers in data science. Some key skills you will pick up in this course include manipulating, analyzing, and interpreting data with Microsoft Excel.

Most of the class is designed to assist learners in understanding how analysts can derive meaningful insights from data through statistical analysis. With the skills acquired in this course, learners can distinguish between effective and ineffective practices, eventually solving key business problems.

Towards the end, participants will be able to apply their data analytical skills across a broader spectrum in the industry, acquire greater familiarity with various practices in data analysis, and better understand databases. This is among the best online data analysis courses for learning to interpret data to inform business strategy.

Subject: Data Analysis | Duration: 8 weeks | Certificate: CPD Certified.
Level: Professionals | Pace: Instructor-lead | Price: $1,168
Info: Visit course website. Get free prospectus. Browse all courses on GetSmarter.

5. Data Analyst with Python – DataCamp

DataCamp’s Data Analyst with Python (visit website) is for learners seeking career-building skills without coding experience. The program offers a compact Python-based module, and aspiring data professionals can hone integral skills that will prepare them for success in the practical realm. You opt for a hands-on approach to importing, cleaning, and visualizing data.

Working with standard popular libraries, including Matplotlib, Numpy, and Pandas, you can get the experience of managing real-world databases from the Titanic and Twitter’s streaming API. The goal is to enable learners’ exploratory, data manipulation, and analytic skills before prepping them for SQL queries and data tables. 

It offers a systematic learning path with five modules that do not require any prior experience curve for learners to understand and excel. You can view the first modules of all classes in the free trial. The subscription rate starts at $25/month. This is one of the best online data analytics courses for Python-based programming.

Data Analysis Courses: 16 | Time: 62 hours | Certificate: Yes
Info: View course. From $25/month. Discount available.

6. Data Analyst with R – DataCamp

DataCamp’s Data Analyst with R (visit website) is a similar career path to its Python-based module above in that learners do not require any experience with coding.

Comprising five modules, the path begins with an easy introduction to R. From here, the modules progress to integral language functions related to conditional statements, loops, and vectors. By mastering data visualization tools, data tables, and dplyr, you can command database queries with expertise. 

Data Analyst with R spans over five modules at $25 a month. It gradually increases their level of complexity. Progressing systematically from more straightforward to more expert-level concepts makes it easier for novice learners to grasp the subject. 

One great perk of the program is its hands-on approach to real-world data sets acquired from Australian population figures to Netflix films. By mastering R and SQL, data analysts can confidently jump into real-life analytics. This is one of the best online data analytics courses based on the R programming language.

Data Analysis Courses: 19 | Time: 77 hours | Certificate: Yes
Info: View course. From $25/month. Discount available.

Tip: To explore learning opportunities, you may browse our lists of the best courses for Udacity, DataCamp, or GetSmarter, or Coursera.

7. IBM Data Analyst Professional Certificate – Coursera

By enrolling for this professional certificate (visit website), learners can come out of the specialization with job-ready and in-demand skills in data analysis.

Despite being a professional program, applicants are not required to have any prior experience, and the program charges an affordable $59 a month. According to statistics on Coursera’s website, 38% of all learners managed to make a career switch to an entry-level data analyst at the end of the specialization.

Through the program, students can advance their skills in Python using Numpy and Pandas. You will pick up proficiency in using Excel for data mining and wrangling, building dashboards with IBM Cognos Analytics, visualizing data with Matplotlib, and creating queries to analyze data in the cloud.

Upon completion, learners will earn a sharable entry-level professional certificate authorized by IBM and access to career support. Except for one, all data analytics courses are rated at 4.5 and beyond, making it a reliable learning path for absolute beginners. Financial aid availability makes it highly accessible for learners from low-income backgrounds.

Duration: 11 months to complete | Instructor: Rav Ahuja
Info: View course on Coursera. Browse: Search all related analytics courses.

8. Data Analytics Master’s Program – Edureka!

Edureka’s Master’s program includes 250+ hours of interactive learning spanned over four compulsory courses and several elective modules to supplement the learning path. It focuses on building analytic proficiency amongst learners that can equip them with the competence and confidence of professional analysts.

Its course topics are claimed to be curated from extensive research of 5000+ job descriptions worldwide. Eudreka boasts a successful Alumni profile that lends credibility to the course’s effectiveness. 

Core topics include statistical training and data analytics with R, SAS, and Tableau. Several learner-centered benefits make it easier for students to become certified data analysts. Course study is self-paced and comes with the bonus of batch and time-switching depending upon availability. 

Data Analytics Master’s Program does not require specific prerequisites, and students from various professional and scholastic backgrounds can opt for entry-level training. Professional support is ensured for each enrolled student, which makes it one of the best online data analytics courses for those seeking an individual learning experience.

Modules: 10 | Time: 5-6 weeks | Interactive Hours: 250 hours | Certificate: Yes
Type: Master’s | Capstone: Yes | Price: $1,099.

Reading tip: See our lists of best Python courses, business analytics courses, machine learning courses, or AI courses to learn specific skills.

9. Data Analyst Professional Certificate – edX

The professional certificate in Data Analytics brings the opportunity to work with IBM Cognos Analytics to build dashboards. Learners must prepare for around 10 months of 2-4 hours of weekly study.

Beginning with the basics of Data Analytics, the program gradually scales up to descriptions of data ecosystems, generating queries in SQL and Python, analyzing data with standard Python libraries, and data visualizations. 

University-backed credits authorize the modules and offer self-paced learning. Finishing the program with a professional certificate will prepare students as entry-level data analyst professionals.

With a 20% labor growth expected for data analysts in the market, certified candidates can confidently position themselves as associate or junior data analysts. No experience is required, and learners with and without college degrees can apply with a one-time fee.

Data Analysis Courses: 8 | Duration: 10 months | Certificate: Yes. IBM
Price: from $699.

10. Data Analytics for Business – FutureLearn

FutureLearn’s Online Expert Track aims to develop core analytical skills to manage, wrangle, and analyze data using Excel and SQLite. At $49 per month, learners can brace themselves for a 14-week tenure of self-paced learning. Certificates are awarded at the end of each class, and there are three online data analytics courses in total.

Data Analytics for Business is offered at an introductory level without requiring any prior experience. The program is suited for early professionals looking to enhance their skills and expertise, business professionals looking for a role switch, or business graduates looking to add qualitative skills to their resumes. 

Since this is a business analytics program, much of it focuses on building skills to bridge demand and supply. Core skills and learning outcomes include data analysis, interpretation, and management with SQL and spreadsheets, basic statistics, and fundamental data analytic techniques and database tools.

Data Analysis Courses: 3 | Duration: 12 weeks | Certificate: Yes.
Level: Introductory | Price: from $49/month. 

11. Data Analytics Bootcamp: Data Analyst – Springboard

The Bootcamp is directed at supplementing hiring potential with career support. Course modules span over six months of self-paced learning. With unlimited 1:1 mentorship, students can make as many calls as needed to advisors and career coaches every week.

Springboard encourages beginners looking to land a job as business or data analysts o apply for the course. The price ($1,100) comes with a money-back guarantee if learners fail to land a job within six months of completing the course. 

Bootcamp’s syllabus revolves around building problem-solving, technical thinking, and communication skills. To enable students to graduate with an “analytical mindset,” the program incorporates insights from McKinsey experts and case studies from Harvard Business School. 

Springboard’s career track covers five modules distributed over a 400+ hour curriculum. In the first module, core exercises such as HDEIP Framework, Issue Trees, Hypotheses Trees, and Value Driver Trees will help learners develop structured thinking. While financial concepts, data analysis with SQL, visualization with Python, and data communication follow soon after.

Although the program is aimed at beginners, learners must have around two years of professional experience with office-based data and programming before enrolment.

Duration: 6 months | Certificate: Yes. | Info: Hands-on experience. Career support.
1:1 Mentoring: Yes | Job Guarantee: Yes

12. Analyze Data with Python – Codecademy

Analyze Data with Python is a beginner’s course aimed at learners without substantial data experience. By signing up with Codecademy Pro, you can subscribe to the skill path and earn a certificate of completion.

In this learning path, students can move beyond basic Excel skills to use Python to visualize data, interpret and manage larger datasets, and run A/B tests for further evaluation. For this purpose, learners will practice in Numpy as the standard Python library to sort and organize giant-sized data and perform statistical operations. 

Since it’s a skill path, students can leverage hands-on experience with real-world data sets obtained from popular brands, such as ShoeFly and the food startup Nosh Mish Mosh.

Data Analysis Courses: 8 | Duration: 10 weeks | Certificate: Yes.
Level: Beginners, Intermediates | Price: from $19.99/month. 

13. Python Data Analysis and Visualization – Educative

Educative offers a learning path comprising four modules billed at $79 annually. Module 1 begins with analytic and visualization basics in Python. Next is familiarity with the robust assortment of standard Python libraries. Modules 3 and 4 deal with vectorization operations and visualizations with Matplotlib, respectively.

Python Data Analysis and Visualization mirror a crash course that compresses years of analytic training in short, doable modules. These allow users to execute code for tasks without watching hour-long videos. Course materials are short and crisp, and new learners can easily imbibe them.

Lessons: 151 | Quizzes: 24 | Challenges: 12 Duration: 12 weeks Certificate: Yes. | Level: Introductory | Price: from $14.99/month.

14. Become a Data Analytics Specialist – LinkedIn Learning

LinkedIn offers aspirants a comprehensive online learning path spanning nine courses for self-paced learning. Core skills taught in the program include statistics foundations, financial forecasting, data mining, predictive, and meta-analytics. 

At the end of the program, students are awarded a badge of completion. With the first three courses revolving around foundational statistics, the program aims at enabling beginners with job-ready skills. Uncertain candidates can use the 1st month of the free trial before opting for this learning path.

Duration: 2-4 weeks | Certificate: Yes.
Level: Introductory | Price: from $26.99/month.

How to Choose the Right Data Analytics Course

The last few years have seen an exponential rise in data analytic applications and training platforms. Experts believe that data analytics is still in its infancy and has immense potential.

All of this makes choosing the best data analytics courses online difficult and momentous. Streamlining your choice in the direction best suited to your circumstances is still possible.

Ask yourself a set of questions related to

• your prior knowledge of data analytics 
• financial standings, as well as goals for the future
• learning competency
• learning method you are best suited to

Entry – Most entry-level training familiarizes learners with level 0 or 1 of introduction to Python, Excel, SAS, and R. Progressive levels include visualization tools such as QlikView / Tableau / D3.js, Big Data Tools, and NoSQL Databases.

Intermediates – Aspirants with some web development/software engineering background can afford to skip the initial learning levels entirely and apply for programs offering intermediate-level data analytics online courses with Python or Java.

Advanced – From here, you must proceed to advanced learning techniques. Level up from basic statistics and predictive modeling to the more advanced levels that teach machine learning and deep learning. 

Another point of consideration is your learning curve. How many hours can you invest, and what’s your learning motivation? Learning paths and online courses are typically less expensive than onsite university courses but require greater self-motivation. 

Considering your range for financial investment and long-term goals, you should go for those prorgams that can reciprocate the most outstanding value in terms of the skills you will need to acquire for a specific job application. 

Data Analytics Courses Online 2025 – Summary

With around 400 billion gigabytes of data out in the world, the role of a data analyst is imperative and increasingly endorsed by most businesses. There never was a better time for analytic professionals to leverage their statistical and managerial skills.

Aspiring candidates are incentivized to command massive salaries and contribute to organizational growth and personal development. Your journey commences when you opt for the best data analytics courses online.

In most cases, one’s financial standings and prior experience inform one’s decision to join a particular program. For novice learners with small financial margins, low-cost and value-based courses, such as the IBM Data Analyst Professional Certificate by Coursera and Python Data Analysis and Visualization by Educative, can make it easier to stand out.

What is your learning experience? If you have taken any of the courses above and have become a data analyst yourself, please share your experience below. Alternatively, suggest other career tracks missing from our list, and we will consider adding them.

Sources: What is matplotlib – 1 | What is numpy? – 2 | Pandas User Guide – 3

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