Discover the Best Online Data Analytics Courses of 2021

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.