Finding the Best Online Data Analytics Courses in 2021
Technology is rapidly developing. As a result, professionals need to keep up. Data analysts can stay up to date by enrolling in online courses. You can expand your existing knowledge and gain valuable experience. It will help improve your chances of being hired faster in such a competitive field.
If you are interested in data analytics and want to take your profession to the next level, read on. In this article, you’ll learn all about the best online data analytics courses in 2021.
What Is Data Analytics?
Data analytics is the study of raw data gathered from insights and trends. They use this data to support decisions made by a business and improve their performance in the industry. They write programs and use different platforms and tools to help them interpret data.
Because of the competitive nature of the tech industry, companies are meticulous when it comes to hiring employees. Online courses can give you an advantage over other candidates. Once you have your Bachelor’s Degree in Computer Science, you should choose a few online courses to expand your knowledge.
The Best Online Data Analytics Courses of 2021
Interpreting data is important because it can provide insight into a company’s future. Data analysis is essential in improving a company’s systems. It is a field of constant growth, and that’s why some professionals attend online courses to further improve their skills.
Listed below are the best online data analytics courses of 2021.
Google Data Analytics Professional Certificate by Coursera
Length: Six Months
This course from Google and Coursera provides eight modules that come with high-quality video lectures, assessments, and real-world examples. The modules explain cleaning and organizing data for analysis and how to plot calculations with SQL, R, and spreadsheets. You’ll learn essential skills such as data ethics and problem-solving.
Enrolling in this boot camp doesn’t require you to have existing knowledge. It will teach you the basics of data analytics. Completing this program gives you entry-level skills which will serve as a stepping stone for your professional journey.
Data Analytics Certification Program by eCornell
Length: Three Weeks
This program aims to offer functional literacy in critical business analytics. It’s an intermediate course, so it is a good choice for those who have a background in fundamental statistics. This course is not only for data analysts but for functional managers, executives, and consultants.
A series of video lectures explains how to visualize data, implement scientific decision-making, and use predictive data analysis. After finishing the program, you will create and validate regression models and use data to describe and reduce uncertainty.
Data Analytics with Excel and R Professional Certificate by IBM
Length: 11 Months
This specific program is recommended for people who want to enter the field of data analytics but have no prior experience. The only requirements are computer literacy and familiarity with manipulating numbers.
This eight-course program will teach you the basics of data analytics and what tools are used in data analysis and prediction.
This program offers you hands-on experience through labs and projects that involve programming. You will learn how to use SQL, Excel, Cognos Analytics, and the R programming language. Students are also allowed to explore libraries for data science.
Advanced Data Analytics for Managers by IIM Kozhikode
Length: 10 Months
This course aims to help professionals build a stronger foundation in business analytics. It also aims to enhance your skills in R programming. IIM Kozhikode offers 10 modules, which cover data visualization, exploratory data analysis, statistical inferences, clustering, text mining, and social media analysis.
By finishing the course, you will master the use of different tools and techniques in both data analytics and machine learning algorithms. These skills are essential to enhance your analytical skills in making data-driven business decisions.
Applied Business Analytics by MIT Management Executive Education
Length: Six Weeks
This course contains six modules that focus on using data interpretations to improve customer service, machine learning, and managerial decision-making. It covers the most effective way to maximize data available resources and use it to come up with a reasonable decision.
This course is also recommended for senior executives, functional managers, business heads, and consultants. Anyone in a position that involves decision-making would benefit from taking this course.
Post-Graduate Program in Data Analytics by Purdue University
Length: Eight Months
Applying for this course doesn’t require prior knowledge about programming or writing database statements. The only requirement is a bachelor’s degree. This course covers six main modules and four electives. The modules deal with the basics of data analytics, Python, R programming, regression modules, and statistical analysis.
Upon completion, you are should be familiar with the tools involved in data analytics. These include Microsoft Excel, NumPy, Python, R, SciPy, PowerBI, and Tableau Partner.
Data-Driven Decision Making by PwC
Length: Five Weeks
This is a beginner-level program that aims to introduce you to the basics of data analytics. Its four courses will teach you how to make data-driven decisions, which is crucial in this line of work.
Those who complete the course learn about data analysis, data visualization, big data, and data-informed decision-making. These are specialized skills that you will have to master if you want to succeed in the field of data analytics.
Data Analytics for Decision Making by Queen Mary University of London
Length: 12 weeks
It is highly recommended to have a background or degree in the data analytics field because the course’s academic concepts are at a postgraduate level. After completing the program, you will receive 15 UK academic credits, which can lead you to a Master’s Degree in Computer Science.
This course will teach you to apply data analysis concepts to data science problems and machine learning. You’ll also learn to build machine learning models from data sets and explore how data affects legal, business, and ethical issues.
Data Analysis and Visualization by Rice University
Length: Eight Weeks
This course contains eight modules that cover data analysis and visualization tools. You will also learn SQL and relational databases, practical statistics and predictive analysis, and automating data analysis using visual basics for applications (VBA).
Previous experience with tools like Tableau and SQL would benefit you in this course, although they are not a prerequisite for enrollment.
As the course title suggests, this program mainly focuses on enhancing the skills in effectively analyzing, visualizing, and communicating data predictions. These skills can improve a data analyst’s job performance.
Visual Business Analytics by SAS
Length: Seven weeks
This five-course beginner-level program has no prerequisites for enrollment. It provides video lectures, graded assessments, and hands-on projects. If you want to get started with business analytics, this course is a great choice.
After completing the course, you are expected to understand how to add, manipulate, and analyze data. You will also design reports using SAS visual analytics. You will earn a certification which serves as evidence of your skills.
Data Analyst Nanodegree Program by Udacity
Length: Four Months
This particular course teaches you how to visualize data using Python, which is essential in data analysis. The lessons will be taught using real-world simulations for projects. A great thing this course offers is access to a personal mentor. You’ll get one-on-one sessions to guide you during your time in the program.
A prerequisite for this course experience is Python and SQL. You have to be familiar with the Python standard libraries and interpreting data with Pandas and NumPy. After completing the program, Udacity will give you resume support, a Github review, and profile optimization on LinkedIn.
Udemy Data Analysis Courses by Udemy
Length: 20 hours
This course is highly recommended for beginners who are hoping to acquire entry-level skills in data analytics. It contains 27 video lectures to help you learn the basics of tools like Python, NumPy, and Pandas. At the end of the program, there will be a final practice exam that will evaluate your knowledge.
The only requirement for this course is installing Anaconda software, which you’ll be taught to use once you enroll.
Data Analysis by the University of Cape Town
Length: Eight Weeks
In this course, eight modules will be tackled in eight weeks. These modules revolve around data-driven decision making, statistical analysis using Microsoft Excel, data presentation and visualization, and an introduction to databases and SQL.
The core topics discussed in this course are identifying business issues, understanding different data analysis techniques, and mastering practical skills in Microsoft Excel. After completing the program, you’ll be skilled in handling data, finance, sales, marketing, and HR management.
Machine Learning for Analytics by the University of Chicago
Length: Five Months
This program has four courses: statistical thinking, advanced statistical thinking for machine learning, introduction to machine learning, and advanced applications. This online course is highly accessible, and you can interact with your instructors and peers to build connections and learn effectively.
Upon completing the program, you will be competent in predictive modeling, Python programming, logistic regression, and machine learning. You will also earn a certificate and have the opportunity to accelerate your path to a degree.
Business Analytics: From Data to Insights by Wharton Executive Education
Length: Three Months
This course focuses on improving your decision-making skills that will be used for long-term situations. You’ll become familiar with how to interpret existing data and use it to make accurate decisions.
The course is composed of nine modules that include video lectures, assessments, and real-world examples. By completing all the sessions, you will be able to understand the relationship between analytics and career growth. This will give you the capacity to make more appropriate choices to solve problems.
What Do Data Analytics Courses Cover?
Data analytics courses teach the essential skills and knowledge to master the field of data analytics. Courses are grouped according to their level, which can be beginner, intermediate, or expert.
The main topics that courses teach you are writing SQL, Microsoft Excel, R and Python programming, and machine learning. You can also learn critical thinking, and data visualization, and analysis. Aside from the video lectures provided, there are also exercises and graded assessments which will help to level up your skills.
You also won’t have to worry if you don’t have prior experience in data analytics. Entry-level courses are there to offer the basics. Higher-level courses teach specialized skills like data cleaning, data visualization, MATLAB, and algebra, and calculus. No matter your experience level, you can find a great data analytics course for you.
How to Choose the Best Data Analytics Course
Self-assessment should be the first step in choosing the best data analytics courses. Ask yourself what tools you want to learn, techniques you want to focus on, and what environment you’d like to learn in. Some programs focus on discussing the tools, others on which skills to improve, and some focus solely on data analytics.
Having specific tools and techniques can greatly help your work and boost your performance. A data analytics course should include a comprehensive curriculum to teach you everything you need to know. Some of the tools are R, Python, Microsoft Excel, Tableau, RapidMiner, KNIME, Power BI, and Apache Spark.
Online data analytics courses vary greatly by price. Some can be upwards of $3,000, and others can be completely free. Before you enroll, make sure your course of choice suits your financial situation. You can contact some course providers to inquire about financial aid.
Everyone has a preference when it comes to learning styles. Some courses provide both video lectures and assessments or programs that offer practice exercises in between lessons. You can choose whether you want to learn at your own pace or test your knowledge during the course.
Data Analytics Certifications
Certifications give different professional credentials and benefits once acquired. These will serve as proof of your skills after completing an exam. Note that these are different from certificate programs because they only involve an exam instead of a series of courses.
Getting a certification is considered a professional investment. You can validate your skills and get a better job in the field. This could be your springboard towards a higher position or pay raise.
Associate Certified Analytics Professional
This certification is for entry-level analytics professionals. This requires at least a master’s degree in a data-related field. The Associate Certified Analytics Professional certification is offered by the Certified Analytics Professional organization.
The main points that will be tackled in this exam are business problem framing, analytics problem framing, data and methodology selection, model building, deployment, and lifecycle management. Once you pass, you will have to get the Certified Analytics Professional certification within six years.
Professional Data Engineer
This certification from Google can assert your experience in data engineering. The exam covers data processing systems, machine learning, data analysis, and more. It costs $200 and takes two hours to complete. Google recommends that you have at least three years of experience before attempting the exam.
SAS Certified Big Data Professional Using SAS9
If you want to use your data analytics skills for big data, this certification is a great choice for you. It covers statistical analysis, data visualization and transformation, and tools like Hadoop and SAS. The SAS Certified Big Data Professional certification process consists of two different exams.
Next Steps After Finishing Your Course
Completing a course prepares you for the real-world work environment. Certifications and courses help bolster your resume and can offer a higher level of employment. Even while working, you can still choose to enroll in these program courses to further improve your skills and experience.
If you want to start working in the field of data science, you should have at least a bachelor’s degree. Online courses are helpful, but they are not recognized in the same way as formal education. They should instead be used to supplement the education you already have.
Once you have the right education, you can start applying for jobs. According to PayScale, the average salary of a data analyst is $61,593 per year. PayScale also reports that the average senior data analyst earns $82,523 per year. The more experience you have, the more money you can make in this field.
The Bottom Line
In data analytics, job competition is increasing each day, so self-improvement is vital. These courses are here to help you level up your skills. Attending courses and acquiring certifications gives you good credentials and benefits. It is guaranteed that these resources will benefit you in one way or another.