The first name on the list of the best online Data Analytics courses is Data Analyst Nanodegree from Udacity. This course will provide you with all of the knowledge, skills, and tools you will need to start a career in data analytics. The program includes regular 1-on-1 mentor calls, an active student community, and one-of-a-kind career support services, in addition to covering both theory and practice.

Students with prior experience with Python (particularly NumPy and Pandas) and SQL programming are best suited for this program. Do not be discouraged if you do not have these requirements. If you do not meet the prerequisites for this program, there's also a similarly structured beginner-level Nanodegree called "Programming for Data Science". The beginner-level program covers exactly what you need to know about Python programming from the standpoint of data science. The lesson topics in this program have all been hand-picked, and the syllabus only includes the most useful and practical topics for working as a data analyst. It also covers some of the most common data analytics tools, such as R, Python, and Tableau, and requires you to apply what you have learned to real-world projects inspired by or provided by industry companies.

This course offers:

• Flexible learning program
• Real-world projects from industry experts
• Technical mentor support
• Career services

Prerequisites:

• Python & SQL

Course by: Udacity

Udacity Rating: 4.6/5.0

Estimated time: 4 months (at 10 hours/week)

Enroll here: udacity.com/course/data-analyst-nanodegree--nd002

The Data Analyst with R Career Track at DataCamp is made up of 19 data science analytics courses chosen by industry experts to help you get started in a new career in data science. The entire track should take about 77 hours to complete because each course is about 4 hours long. Students should be able to manipulate and analyze data using R by the end of this track.

The track of this course is simple to follow. Each course is divided into several smaller courses, each of which is divided into "chapters". Videos and interactive exercises are used to teach the curriculum. The courses are taught by 15 different instructors, including DataCamp co-founder Jonathan Cornelissen. To begin this career track, there are no prerequisites. If you want to change careers but don't have a lot of time to study each day, DataCamp's Data Analyst with R is the best option. This Career Track is one of the best data analytics courses because it is divided into bite-sized learning chunks. It will teach you everything you need to know to begin working in the field of data science.

This course offers:

• 19 courses
• Interactive exercises
• Chance to work with real-world datasets

Course by: DataCamp

Estimated time: 77 hours

Enroll here: datacamp.com/tracks/data-analyst-with-r

Data Science Specialization from Coursera, developed in collaboration with John Hopkins University, is a ten-course program that teaches you the fundamentals of the data science pipeline. Although anyone can enroll in this course, students should have some prior Python experience and knowledge of regression.

Videos and additional readings are also used to teach the curriculum. Auto-graded practice quizzes and peer-graded assignments are used to assess student knowledge. The program concludes with a practical project that allows students to create a useful data product. According to Coursera, most students can complete the program in about 11 months if they study for 7 hours per week. Because Coursera charges a monthly fee, completing the specialization as quickly as possible is a strong incentive. Students can also opt to view course content for free, but they will miss out on the capstone project and course certification as a result. There is a 7-day free trial if you are not sure if this course is right for you. Students who cannot afford the course fee can apply for financial aid through Coursera.

This course offers:

• 100% online courses
• Shareable Certificate
• Flexible Schedule
• Beginner Level
• Subtitles: English, Arabic, French, Portuguese (European), Italian, Vietnamese, Korean, German, Russian, Spanish, Chinese (Simplified), Portuguese (Brazilian), Japanese

Course by: Coursera

Coursera Rating: 4.5/5.0

Estimated time: 11 months

Enroll here: coursera.org/specializations/jhu-data-science

The Business Analytics Specialization is the next name on the list of the best online Data Analytics courses. This course is divided into four discipline-specific courses (customer, operations, people, and accounting analytics) and is hosted on Coursera by the Wharton School of the University of Pennsylvania. A capstone project is the focus of the fifth and final course.

Videos and readings are used to teach the specialization. Quizzes are used to assess your knowledge. You can also take part in online forums. Students complete a Capstone Project in collaboration with Yahoo at the end of the course. The entire specialization takes about 40 hours to complete, so students can complete it in as little as six months if they study three hours per week. This course does not require any prior knowledge of business analytics. Students must, however, have access to a full-featured version of Microsoft Excel as well as a basic understanding of its functions.

This course offers:

• 100% online courses
• Shareable Certificate
• Flexible Schedule
• Beginner Level
• Subtitles: English, Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, Spanish, Chinese (Simplified), Korean, Mongolian

Course by: Coursera

Coursera Rating: 4.6/5.0

Estimated time: 6 months

Enroll here: coursera.org/specializations/business-analytics

"Excel to MySQL: Analytic Techniques for Business Specialization" is the next name on the list. The Excel to MySQL: Analytic Techniques for Business Specialization, offered by Duke University and available on Coursera, is a beginner-friendly course that teaches students how to extract as much information as possible from the data they already have.

There are five courses in the program. Before moving on to classes on Excel, Tableau, and MySQL, you learn best practices for using data analytics to make a business more competitive. Students will need access to Microsoft Excel 2007 even if they have no prior experience with the program (or a more recent version). Students who devote five hours per week to the program should be able to finish it in about seven months. It does not matter if you have worked in statistics, computer science, or business before. Everyone will learn something new from this course.

This course offers:

• 100% online courses
• Shareable Certificate
• Flexible Schedule
• Beginner Level
• Subtitles: English, Arabic, French, Portuguese (European), Italian, Vietnamese, Korean, German, Russian, Spanish, Chinese (Simplified)

Course by: Coursera

Coursera Rating: 4.6/5.0

Estimated time: 7 months

Enroll here: coursera.org/specializations/excel-mysql

Big Data Analytics with Tableau from Pluralsight is the next name on the list of the best online Data Analytics courses. This course will teach you how to access big data systems using Tableau Software, as well as give you a better understanding of big data. The course covers topics such as big data analytics and how to use Tableau to access and visualize big data.

Ben Sullins, who has 15 years of industry experience and has provided consulting services to companies such as Facebook, LinkedIn, and Cisco, will teach the course. Sullins imparts his knowledge to students in small chunks of information. As a result, students can tailor their education to meet their specific needs. You can complete the course in one day or take your time and complete it over a week or two. This course is not intended for complete beginners. You should have some prior data analytics experience. Consider taking Data Analysis Fundamentals with Tableau, another course by Sullins, if you are a complete beginner. One of the most widely used data visualization tools is Tableau.

This course offers:

• Intermediate Level
• Bite-sized chunks of content
• Focus on Tableau software

Course by: Pluralsight

Pluralsight Rating: 4.5/5.0

Estimated time: 4 hours

Enroll here: pluralsight.com/courses/big-data-analytics-tableau

"The Data Science Course 2022: Complete Data Science Bootcamp" is the next name that Toplist would like to share with you. Data Science Course 2022: Complete Data Science Bootcamp is a comprehensive data science course with 471 lectures available on Udemy. There are nearly 30 hours of on-demand video, 90 articles, and 154 downloadable resources in the lectures. While the course is not new, it has been updated with new learning materials for 2022.

Students will learn in-demand data science skills such as Python and its libraries (such as Pandas, NumPy, Seaborn, and matplotlib), machine learning, statistics, and Tableau as part of this course. Although the course may appear daunting at first glance, it is well-structured and requires no prior knowledge. Access to Microsoft Excel is all you need to get started. Overall, the Data Science Course: Complete Data Science Bootcamp from Udemy covers a wide range of topics without getting too technical or practical. Overall, it is an excellent general introduction to data science.

This course offers:

• 29.5 hours on-demand video
• 90 articles
• 515 downloadable resources
• Full lifetime access
• Access on mobile and TV
• Certificate of completion

Course by: Udemy

Udemy Rating: 4.6/5.0

Estimated time: 29.5 hours of on-demand video

Enroll here: udemy.com/course/the-data-science-course-complete-data-science-bootcamp

Become a Data Analyst on LinkedIn Learning is the next name on the list of the best online Data Analytics courses. This is a data science "learning path" for beginners. Learning paths are collections of related video courses on a specific subject or profession. Learning Data Analytics; Data Fluency: Exploring and Describing Data; Excel Statistics Essential Training: 1; Learning Excel: Data Analysis; Learning Data Visualization; Power BI Essential Training; and Tableau Essential Training are the seven courses on this path (2020.1). The length of each course varies. However, because most courses last between two and four hours, you can complete the entire path in about 24 hours.

Starting this learning path requires no prior knowledge. You don't even need to understand what data analysis is. The course starts with a definition of data analysis before going over how to recognize, interpret, clean, and visualize data. Six different instructors, all of whom are industry experts, teach the curriculum via video. Some courses include quizzes, and all courses include a Q&A section where you can ask the lecturer any questions you have about the course.

This course offers:

• Free to access
• Beginner-friendly
• Quizzes
• No prerequisites

Course by: LinkedIn Learning

Estimated time: 38 hours of content

Enroll here: linkedin.com/learning/paths/become-a-data-analyst

Data Analytics Bootcamp, created by Springboard in collaboration with Microsoft, is a six-month career-focused program with a job guarantee. Students will learn how to use analytics and visualization tools such as Excel, Python, SQL, Tableau, and Microsoft Power BI, as well as fundamental business statistics concepts and advanced analysis techniques.

Students complete several small projects and two capstone projects sourced from Harvard Business School and Khan Academy throughout the course. The course takes about 320 hours to complete, or 6 months. The majority of students devote 15 to 20 hours per week to the course. Each student also has access to unlimited mentor calls and more than 50 hours of career support. This program, however, will not be open to everyone. Students must be native English speakers with two years of professional experience using Microsoft Office or G-Suite. Students should also be able to think critically and solve problems. If you don't meet the requirements, Springboard offers a free Intro to Business Analytics course to get you up to speed.

This course offers:

• 1-on-1 mentor support
  
• Hands-on experience
  
• Job Guarantee
  
• 2 capstone projects
• Unlimited career coaching

Course by: Springboard

Estimated time: 25+ hours

Enroll here: springboard.com/courses/data-analytics-career-track/

"Data Analytics Program" is the next name on the list of the top online courses to learn data analytics. The Data Analytics Program at CareerFoundry ensures that each of their students receives plenty of individual attention. You will be assigned a mentor with more than five years of industry experience, as well as daily feedback from a tutor. CareerFoundry will not only teach you the data analysis skills you will need to work in the industry, but it will also show you how to get a high-paying job. Their career services team will give you personalized advice on building your portfolio and interview techniques, and you'll get your money back if you do not land a data analyst job within 180 days of finishing this course.

This is the course for you if you are as interested in expanding your professional network as you are in improving your technical skills.

This course offers:

• Fully online
• Mentorship
• Career support

Course by: CareerFoundry

CareerFoundry Rating: 4.9/5.0

Estimated time: 5 months (30-40 hrs/week) – 8 months (15-20 hrs/week)

Enroll here: careerfoundry.com/en/courses/become-a-data-analyst/