Discover the Best Online Data Analytics Courses of 2021

Most technology services use data systems to operate. Data science is a field relevant to many companies, spanning different industries. Today, data analytics has excellent job prospects, steadily increasing salaries and great job benefits.

If you want to learn more about data analytics, an online course can help you. Take a look at the best online data analytics courses of 2021 and discover the programs, costs, and benefits below.

What Is Data Analytics?

Data analytics is the process of transforming data into digestible results and actions. This field covers many techniques and general objectives depending on the purpose of the project.

These results allow data-driven people or companies to discover trends to offer better services. A data analyst can work with small data or big data, depending on the company or purpose. Either way, data analysts convert raw data into useful content.

Breakdown: The Top 10 Online Data Analytics Courses

There are many ways to learn how to analyze data. Most companies require a degree, but you can also learn extra skills with online courses. If you already have a bachelor’s degree, then a course can help you improve your resume.

The table below gives a summary glimpse of the best online courses in data analytics.

Provider and Course Certificate Length Price
Google (Coursera)
Google Data Analytics
Yes 6 months $84
Harvard University (edX)
Data Visualization
Yes 2 days $1,450
IBM (Coursera)
Data Analytics with Excel and R
Yes 8 months $312
IBM (Coursera)
IBM Data Analyst
Yes 11 months $429
IBM (Coursera)
Data Analysis and Visualization Foundations
Yes 4 months $156
Johns Hopkins University (Coursera)
Data Science
Yes 11 months $539
LearnQuest (Coursera)
Key Technologies in Data Analytics
No 4 months $196
PwC (Coursera)
Data Analysis and Presentation Skills: The PwC Approach
Yes 6 months $294
University of Michigan (Coursera)
Applied Data Science with Python
Yes 5 months $245
University of Pennsylvania (Coursera)
Business Analytics
Yes 6 months $474

What Can I Learn in a Data Analytics Course?

In a data analytics course, you can learn the skills and tools you need to work with data. Data science has a significant demand in 2021. Technology companies invest millions of dollars in hiring the best tech talent in this field.

Some of the tools, concepts, and skills you will learn in these courses are spreadsheets, Python for data science, machine learning, data sets, and SQL.

The Best Data Analytics Courses of 2021

The Best Data Analytics Courses of 2021

Starting a data analytics course is a significant step to gain experience in this field. A certificate can improve your resume and expand your knowledge. If you want to become a data analyst, you should choose the best data science courses on the market.

Below you will see a description of each program and its key objectives and topics.

Data Analytics | Google (Coursera)

Subjects Covered: SQL, R programming, spreadsheets, data visualization

This professional certificate was created by Google, one of the largest data processing companies in the world. This course is 100 percent online and includes support from Google professionals and data science experts.

This course consists of four stages. You will receive an introduction to data science and finish your training with practice exams. You will learn SQL and data visualization. According to Google, this course helps you gain experience as an entry-level data analyst.

Key Takeaway: In addition to receiving a certificate from Google, you will benefit from flexible hours and professional support.

Data Visualization | Harvard University (edX)

Subjects Covered: Data visualization, data science, business analysis

This two-day course explains how to use data science for business. It also helps you understand and refine data for all types of projects and apply human cognition principles.

Harvard is one of the most important universities in the world. The academic level is very high. Thanks to its reputation, a certification will help you to have a better reputation when looking for work.

Key Takeaway: This program from Harvard and edX teaches you to conceptualize ideas and express them in graphics.

IBM Data Analytics with Excel and R | IBM (Coursera)

Subjects Covered: SQL, R Shiny, R Studio, Jupyter, Excel

IBM, also known as International Business Machine Co., is one of the world’s leading technology companies. It offers courses to help aspiring tech workers learn vital skills. Therefore, IBM is a great place to learn data analytics.

IMB Data Analytics with Excel and R is an eight-month program where you will learn about the processes of data analysis, modeling, and Excel. You will participate in special labs to create accurate statistics and projects involving graphs. You do not need to have data science experience to access this program.

Key Takeaway: Although eight months is a long time, this course from IBM is worth it.

IBM Data Analyst | IBM (Coursera)

Subjects Covered: SQL, Python, Pandas, NumPy, Jupyter, data visualization

IBM offers another course to help you learn about the tasks and duties of a data analyst. During the 11 months, you will learn the fundamental skills to be an entry-level analyst. In addition, you will participate in practical projects to apply all the knowledge of the program.

To access this course, you do not need experience in data science. The program is open to all who want to know about this industry. Getting professional certification from IBM is a great way to improve your resume.

Key Takeaway: You will learn everything you need to know in this comprehensive data analysis course.

Data Analysis and Visualization Foundations | IBM (Coursera)

Subjects Covered: Cognos Analytics, pivot tables, Excel

Another of IBM’s courses is Data Analysis and Visualization Foundations. In four months, you will have the necessary tools to analyze and process data with visualization methods. You will also learn how to get the most out of Excel tools.

Before graduating, you will do an individual final project where you will use everything you learned during the program. The schedule in this course has no restrictions and you can access the program at any time. You also don’t need any experience to start.

Key Takeaway: This self-paced option is a great way to start learning data visualization.

Data Science | Johns Hopkins University (Coursera)

Subjects Covered: Machine learning, R programming, GitHub, R Studio

If you want to experience higher education, you can take this online course from Johns Hopkins University. The Data Science program is a professional course in which you will learn the fundamentals of this field, including the practices with the greatest demand in the market today.

One of the advantages of this data science specialization is that you will learn resources such as machine learning, predictive modeling, and the fundamentals of programming. You will use the programming language R to clean, visualize and process data. JHU’s data science courses are available in more than six languages ​​and are internationally supported.

Key Takeaway: This data science course from Johns Hopkins is a good choice if you want to start learning more advanced concepts.

Key Technologies in Data Analytics | Learn Quest (Coursera)

Subjects Covered: Cloud computing, big data, data exploration

This Learn Quest online course teaches you the knowledge to start in the world of data science. The objective of the program is to explain elementary concepts of the field, define the basics of data analytics, and teach you how the tools work.

The program introduces you to the concepts of data warehousing, databases, and big data. It is flexible, so you can access the course on your preferred schedule. This four-month course is less expensive than others on this list.

Key Takeaway: This program from LearnQuest can teach you the basics of data analytics.

Data Analysis and Presentation Skills: The PwC Approach | PwC (Coursera)

Subjects Covered: Excel, big data, data analytics, DataViz

PricewaterhouseCoopers (PwC) offers a specialized course in data visualization that can help you learn how to show the results of your data science projects. The curriculum of this course consists of several learning modules to gradually increase your experience and help you acquire new skills.

At the end of each module, you must present an applied learning project to turn your experience into real resources. You will use programs like Excel and PowerPoint to present your results. Most graduates of this course began careers in data science after graduation.

Key Takeaway: This hands-on data science training will help you visualize and present data in the field.

Applied Data Science with Python | University of Michigan (Coursera)

Subjects Covered: NumPy, data cleaning, pandas, Python, DataViz, Matplotlib, machine learning

The Applied Data Science with Python program includes five courses, in which you will learn Python language skills for your real-world data science projects.

This online course can teach you the tools you need for data visualization. In addition, you will learn about other programming tools such as pandas, NumPy, and Matplotlib. The schedule for this course also includes the fundamentals of machine learning. It requires seven hours per day, but by the end, you will learn everything you need to know.

Key Takeaway: This intensive program from the University of Michigan and Coursera is a good choice if you’re ready to commit to learning.

Business Analytics | University of Pennsylvania (Coursera)

Subjects Covered: Customer analytics, regression analysis, predictive analytics, decision trees

This specialized certificate from the University of Pennsylvania is a good option if you want a more immersive experience. It can help you learn data science in the context of business analytics. Modules include customer analytics, accounting analytics, people analytics, and operations analytics.

At the end of the course, you will carry out capstone projects to apply real-world data solutions to business strategies. In six months, you will obtain a certificate and enter the industry.

Key Takeaway: This extensive course combines practical and theoretical knowledge with mental skills and business strategies.

Professional Data Analytics Certifications

Professional Data Analytics Certifications

A certification is a document that proves that you are qualified to work in a given profession or industry. These licenses are sometimes necessary depending on the company or your location. In most cases, they are not compulsory, but they can look good on your resume.

Below you will see two of the most popular data analytics certifications today.

Associate Certified Analytics Professional (ACAP)

If you have an Associate Certified Analytics Professional (ACAP) license, you can work as a data analyst in almost any company. This credential is assigned by INFORMS, and the exam costs about $300. Although this is a lot of money, it will be useful to you if you want to move up in the field.

Microsoft Certified Azure Data Scientist Associate

Microsoft, one of the largest tech companies in the world, offers this certification called the Microsoft Certified Azure Data Scientist Associate. It will assess your knowledge of data science for use in the industry. Exams cover speech, computer vision, and natural language processing. The exam costs $165, and the license is valid for life.

How Much Can I Earn as a Professional Data Analyst?

A report from the Bureau of Labor Statistics says that the average salary for a data analyst is $86,200. These results depend on the company where you work, your experience level, your location, and other factors. Either way, this is a very good median salary, even for a tech position.

48050
Min salary

$

86200
Average salary

$

144330
Top salary

$

Should You Learn Data Analytics in 2021?

Yes, you should learn data analytics in 2021. This is one of the most lucrative and growing careers today. The BLS statistics say that job opportunities in this field will grow by close to 25 percent between 2019 and 2029. This is much higher than the national average.

Another reason to study data analytics is that you can access courses and certificates from home. This is something that you should take advantage of to improve your resume. No matter what course you choose, there has never been a better time to start learning data analytics.

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