Best Udemy Alternatives For Data Analytics

The eLearning industry is projected to grow to $1 trillion by 2028. More people than ever are resorting to online learning, and taking online courses today.

Udemy, with over 50 million learners and a library of over 200,000 courses, is a major player in the online learning market.

However, Udemy is not alone in its space. There are several other platforms that offer the best of learning experience by offering high-quality courses, certifications and training.

In this post, we are going to focus on Data Analytics. We will talk about platforms that provide a variety of options for individuals interested in expanding their knowledge and skills in data analytics.

So whether you’re a beginner looking to get started or an experienced professional seeking advanced courses, read the post till the end.

These alternatives to Udemy for Data Analytics will give you more choices to pick the best platform for your needs.

Check out: Best Data Science Bootcamps

Best Udemy Alternatives

Take a look at what we have on our list.

1. DataCamp

DataCamp is probably the best alternative to Udemy for Data Analytics.

The online platform specializes in data science and analytics. Some of the key features and benefits of DataCamp include:

• Interactive, hands-on courses with 400+ offerings and 10,400+ exercises
• Guided learning paths and skills assessments to track progress
• Courses taught by industry experts in Python, R, SQL, Spreadsheets, and more
• Earn DataCamp certificates to showcase skills on LinkedIn and resumes

DataCamp offers a wide range of courses in data science, machine learning, business analytics, and other data skills. Here are the popular most course categories.

1. Data Analyst with Python: The course teaches essential data analysis skills in Python. It covers topics like data manipulation, data visualization, statistics, and machine learning.
2. Data Scientist with Python: Through this course, learners will gain a strong foundation in data science with Python and be prepared to apply these skills to real-world problems.
3. Quantitative Analyst with R: The course is designed to help individuals develop a strong understanding of quantitative analysis as it applies to finance and how to utilize the R programming language to explore and manipulate datasets. 
4. Business Analyst with SQL: The course focuses on leveraging SQL to analyze data effectively and build robust reports to address business challenges. 

DataCamp offers affordable subscription plans starting at $7/month for the Premium plan designed for individuals.

For teams of two or more members, there is the Teams Plan that costs $13 per month per user. It also offers a free plan.

DataCamp also provides limited-time offers such as the Premium Student plan in which students can avail 50% discounted access to 480+ courses and 1,500+ hours.

DataCamp’s interactive, project-based learning approach makes it a top choice for individuals looking to develop practical data skills at their own pace.

Explore: Datacamp Free Trial

2. Udacity

Udacity is another online learning platform that offers a variety of courses in data science, programming, data analytics, artificial intelligence, digital marketing, and more.

To ensure hands-on experience, Udacity’s Data Analytics courses feature real-world projects based on practical scenarios. In addition, Programs are co-created with industry leaders to provide relevant and up-to-date content.

Learners receive access to a wide range of courses and skills in programming, data science, and artificial intelligence.

Additionally, the platform offers top-tier services to ensure learner success, including project reviews and feedback from subject matter experts.

The most popular Data Analytics courses on Udacity include:

1. Data Analyst Nanodegree Program: This is an intermediate-level program that teaches essential skills for data cleaning, exploratory data analysis, data visualization, and communicating insights.
2. Business Analytics Nanodegree Program: This beginner-level program focuses on mastering data fundamentals and making data-driven business decisions.
3. Introduction to Data Analytics: The course provides a foundational understanding of the data analytics lifecycle, data integrity, and the different types of data analytics.

Udacity’s pricing depends on the specific course and subscription plan chosen.

Its focus on practical, industry-aligned training and hands-on learning makes it a valuable platform for individuals looking to enhance their skills and advance their careers in data analytics. 

Read this too: DataCamp vs HackerRank

3. Coursera

Coursera is a leading online learning platform that offers a wide range of self-paced data analytics courses from top universities and companies. 

Learners can access courses from renowned institutions like Google, IBM, Johns Hopkins University, and more.

Additionally, the platform offers flexible, affordable options including free courses, specializations, MasterTrack certificates, and degrees.

Coursera data analytics programs are interactive in nature, providing hands-on learning with video lectures, readings, quizzes, and projects.

The platform provides shareable certificates learners can use to showcase skills on LinkedIn and resumes.

Some of Coursera’s most popular data analytics courses and specializations include:

1. Google Data Analytics Professional Certificate: The course teaches essential data analytics skills in 6 months.
2. IBM Data Analyst Professional Certificate – The data analytics course covers Python, SQL, data visualization and more in 4 months.
3. IBM Data Analytics with Excel and R Professional Certificate: It focuses on equipping learners with Excel and R programming skills in 3 months.
4. Microsoft Power BI Data Analyst Professional Certificate: The program teaches Power BI, data modeling and visualization in 5 months.

Coursera pricing varies by course. Degree programs are more expensive but provide a full university curriculum online. Financial aid is available for those who qualify.

The combination of quality content, flexible formats, and affordable pricing makes Coursera a leading destination for online data analytics education.

Also read: Udemy vs Coursera vs DataCamp

4. edX

EdX is a prominent online learning platform offering high-quality courses from top universities and institutions globally.

Founded in 2012 by Harvard and MIT, edX aims to make quality education accessible to learners worldwide.

The platform offers a wide range of data analysis courses and programs from top universities and industry leaders like MIT, Harvard, and IBM.

These courses cover foundational data analysis concepts as well as specialized topics like big data, predictive analytics, and data visualization.

Thanks to the flexible online format of these courses, learners can enjoy self-paced learning that fit busy schedules. They can earn professional certificates and MicroMasters credentials to showcase data analytics skills.

The most popular Data Analytics courses from edX are as follows:

1. IBM Data Analytics Basics for Everyone: The course covers the data analysis lifecycle, data structures, and analysis tools.
2. IBM Analyzing Data with Excel: Teaches excel skills for data cleaning, analysis, and visualization. 
3. HarvardX Introduction to Data Science with Python: Teaches the concepts and techniques that serve as the foundation of data science and machine learning.
4. GTx Data Analytics for Business: This popular course equips learners with business analytics skills, thereby empowering them to become valuable assets in business organizations.
5. MITx Data Analysis: Statistical Modeling and Computation in Applications: The course introduces learners to the connection between statistics and computation used for the analysis of real data.

Overall, edX offers a comprehensive catalog of data analytics courses and programs to help learners develop in-demand skills for a variety of industries and career paths.

Read this too: DataCamp For Beginners

5. Pluralsight

Pluralsight is another promising alternative to Udemy for Data Analytics.

It is a leading online platform that offers a wide range of data analytics courses and learning resources. Pluralsight is known for offering hands-on, project-focused courses using real-world tools and environments.

The courses at Pluralsight are taught by industry experts with practical experience. Learners can access skill assessments to benchmark and validate their data analytics knowledge.

These courses offer flexible learning paths and channels to reach goals faster. You also earn certifications to showcase skills and advance careers.

The most popular data analytics courses on Pluralsight include:

1. Data Analytics: Hands On: Covers key concepts from data analysis to visualization.
2. Big Data Analytics with Tableau: This course has been designed to help learners how to analyze big data using Tableau.
3. Data Analytics Literacy: Through this course, learners gain knowledge about how to use Data Analytics for the detection, interpretation, and communication of meaningful patterns in data.

Plural sight has two pricing plans in the Skills path.

• The Standard plan is priced at $29 per month (or $299 if paid yearly). It includes access to to core library of 5000 courses, curated learning paths and skill assessments. 
• The Premium plan costs $45 per month (or $449 if paid annually). It provides access to a full library of 7,000+ courses, hands-on coding projects, certification exam prep and coding challenges.

Pluralsight’s focus on  expert-led courses and flexible learning paths makes it a valuable resource for individuals looking to develop practical data analytics skills. 

Explore: DataCamp or Udemy For Python

6. Simplilearn

Simplilearn is a prominent provider of Data Analytics courses, offering a comprehensive range of programs to enhance skills in data analysis and interpretation.

It offers an extensive curriculum covering foundational statistics, data analysis with Python and R, SQL database querying, and data visualization with Tableau and Power BI.

The platform provides hands-on projects and real-world case studies to apply learned concepts in practical scenarios. Courses are notable for industry-aligned training by experienced instructors and industry experts.

Additionally, the platform also provides career assistance services to help learners transition into data analytics roles. This includes live masterclasses, hackathons, and job assistance programs.

The most in-demand data analytics courses from Simplilearn include:

1. Post Graduate Program In Data Analytics: This course is conducted in partnership with Purdue University and in collaboration with IBM. It includes an applied learning model designed with real-life projects and business case studies.
2. Data Analytics Bootcamp: The course is offered in collaboration with Caltech. It has been specifically tailored for working professionals and features practical industry projects and integrated labs.
3. Data Analyst: Conducted in partnership with IBM, this course offers a recognized Data Analyst certification to grow your career. Students will be introduced to SQL, R, Python, data visualization, and predictive analytics skills and how to use these skills on real-world projects.

The course fees at Simplilearn vary based on the program selected, with options for EMI starting at a specific price point. Additional costs may apply for certification charges and alumni association membership fees.

Simplilearn’s Data Analytics courses provide a structured learning path for individuals at various skill levels, from beginners to experienced professionals, seeking to enhance their data analytics capabilities and advance their careers in this rapidly growing field.

Explore: DataCamp vs Sololearn

7. Codecademy

Codecademy is a prominent online platform that offers a wide range of data analytics courses and resources. It offers interactive, hands-on learning with coding exercises, projects, and quizzes.

The structured learning paths and courses are ideal for beginners to advanced learners. These courses cover essential data analytics skills like data manipulation, visualization, and analysis.

Codecademy offers students opportunities to learn data analytics skills in Python, SQL, R, Tableau, and more. Best of all, they can build a portfolio of projects to showcase skills to potential employers.

Popular data analytics career paths and courses from Codecademy include:

1. Data Analyst Career Path: Covers Python, SQL, data manipulation, visualization, and communication.
2. Data Scientist: Analytics Specialist Career Path – Focuses on using Python and SQL for data analysis and visualization
3. Business Intelligence Data Analyst: This course will enable analysts to use Python and SQL to query, analyze, and visualize data. They will also learn to use Tableau and Excel to communicate findings.

Pricing plans at Codecademy start at $14,99 per month. It offers unlimited access to courses and projects. Plus, students can avail discounted rates.

Codecademy’s interactive, project-based approach makes it an engaging platform for individuals looking to develop practical data analytics skills. 

Also read: DataCamp vs Codecademy For Python

8. Dataquest

Finally we have Dataquest which is fairly popular for offering quality data courses.

It is a leading online platform that specializes in data science and analytics education. The platform offers interactive, hands-on courses with over 70 offerings and real-world projects.

Dataquest provides guided learning paths and skill tracks in areas like data analysis, data science, and data engineering. Courses cover essential skills in Python, R, SQL, data visualization, and more.

Some of Dataquest’s most popular data analytics courses and learning paths include:

1. Data Analyst in Python – This course covers Python programming, SQL, data visualization, and statistical analysis.
2. Business Analyst with Power BI – It will equip you with the skills you need to start a career as a business analyst. You will be introduced to SQL, Excel, and Power BI skills to analyze data, communicate insights, and make data-driven decisions.
3. Data Analyst in R: The course has been designed to help you start a career as a data analyst or take your career to the next level.

Dataquest pricing features free membership that provides access to introductory courses and projects. Paid plans start at $49/month with annual and lifetime options available.

Dataquest’s structured learning paths and supportive community help learners develop practical data analytics skills from beginner to advanced levels.

Check out: DataCamp vs Codecademy For Python

Conclusion

Online learning platforms have emerged as a convenient and efficient alternative to traditional classroom-based learning.

These platforms offer a wide range of courses and programs, catering to diverse educational needs and interests. When it comes to learning Data Analytics, these are some of the best platforms to consider.

If Udemy is not working for you for any reason, you can pick one of these. Each of these platforms has its own strengths. Explore them inside out and pick the one that suits you the most.