10 Best Data Analytics Courses for Beginners

Best Data Analytics Courses

Table of Contents

There is a high surge in the demand for Data Analysts for the last decade and the demand is continuously growing. But still, the supply of data analysts is short.

This makes Data Analytics one of the most popular courses for many students as there are very good chances of landing a good job in many different sectors like IT, healthcare and public policy to name a few. 

The pay scale of a Data Analyst is very lucrative and increases over time with enough years of experience.

This article will help you to select the best Data Analytics courses for a successful career ahead. But before we go ahead and talk about the best courses available online, let us first understand what is data analysis.

Key Takeaways

  • All the essentials skills and tools you need to know to become a data analyst.
  • All the major courses available on the web and details like duration, Price, Pros and cons.
  • What is the difference between Data Science and Data Analytics.

What is Data Analysis?

Data Analysis is the process of taking raw data and drawing insightful observations so that businesses can make complex decisions for themselves.

A Data Analyst uses many different tools like Python, R studio, SQL and spreadsheets to analyse and manipulate the data. You don’t need to know anything about them before starting the course. You’ll learn everything on the go.

Often time people confuse Data Analytics with Data Science, although these two fields are actually different from each other. On that note, let us understand what is Data Science.

What is Data Science?

Data Scientists gain insights from structured and unstructured information with the help of approaches, from statistical analysis to Machine Learning.

Data Science is used by most organisations to transform data into value in the form of increased revenue, reduced costs, business agility, improved customer experience, new product design and so much more.

If you want to know more about Data Science, then check this article on how to become a Data Scientist.

Now let us take a look at some key differences between a Data Scientist and a Data Analytics.

Data Science vs Data Analysis

  1. A Data Analyst will answer the questions posed by the company, whereas a Data Scientist will create questions whose answers are likely to be beneficial to the company.
  2. A Data Scientist looks at data from various sources, whereas a Data Analyst normally looks at data from a single source, such as a CRM system.
  3. A Data Scientist’s profession requires great business aptitude and Data Visualisation abilities to turn an insight into a business storey, whereas a Data Analyst is not expected to have strong business acumen or sophisticated data visualisation skills.
  4. In many cases, Data Analysts are not required to have hands-on Machine Learning experience or develop statistical models, whereas a Data Scientist’s primary role is to build statistical models and be knowledgeable about machine learning.

Read this article to know more difference between Data Science and Data Analytics

Who Can Choose a Course on Data Analysis?

Great news! Anyone can. No prior experience in any programming language is required to start most of these courses.

These courses will teach you everything from scratch to an advanced level so that you can build a solid foundation over the core concepts of Data Analytics and then you can apply for your dream job.

List of Best Data Analytics Courses

This section contains the list of Data Analytics courses, which will allow you to understand the concept of several subjects and begin your journey as a Data Analyst.

Each one of them provides you with something unique and we have mentioned the Pros and cons list to help you chose the right course for you. So, without any further ado, let us begin with the first course.

Data Analysis with Python (Freecodecamp.org)

Offered by Freecodecamp.org, Data Analysis with Python is a beginner-friendly course from where you can do data analytics with a focus on Python programming.

It has all the tools required and you can practice it on the website itself.

The total duration of the course is 300 hours and you will receive a certificate after completion.

It is a nonprofit organization and hence it is free of cost. But you can always make a donation to support their excellent work.

This course includes :

  • Reading data from CSV, SQL and Excel
  • Process the data Using NumPy and Pandas
  • Visualize using Matplotlib and Seaborn

Pros

  • Hands-on experience
  • Bit size topic
  • Capstone projects
  • No prerequisites
  • Free

Complete Data Analyst Bootcamp 2021 (Udemy)

The Data Analyst Course by Udemy is one of the best Data Analysis courses for beginners and does not require any prior experience in any programming language.

The course consists of 20.5 hours of on-demand video lectures, 14 articles, 132 downloadable resources, real-world training and access to a lifetime.

This course includes :

  • Python programming, NumPy and Pandas
  • Solve a final Capstone project

The price of this course is $120 but Udemy always runs discounts and you can get up to 90% off on this course.

Pros 

  • No prior experience required
  • 30 days money back guarantee

Google Data Analytics Professional Certificate (Coursera)

Coursera offers a wide range of courses on Data Analysis and Data Science from some great universities and even great tech companies as well.

One such course is Google Data Analytics Professional Certificate. It is an 8 courses series that cover each aspect of Data Analysis. 

It not just teaches you how to use tools like SQL and R studio but will also teach you how to think like a Data Analyst and how to ask the right question.

This course includes :

  • Use of Spreadsheets, SQL and R Studio for Data Analysis
  • Data cleaning and Data visualization through Tableau

You will earn a certificate after the completion of the course which you can display on your LinkedIn profile.

The duration of this course is 6 months at a pace of 10 hours every week.

The price of this $39 per month is the price of a Coursera subscription but you can audit this course and still learn everything. You have to pay only if you want to earn a certificate

Pros

  • Course audit available
  • No prerequisite required
  • Includes quizzes and assignments

Data Analytics for Business (edX)

Georgia Tech is a renowned university in Atlanta, US and being able to study from the professor of that university from anywhere in the world is truly a superpower of this generation.

The university offers Data Analytics for Business in which you will have an in-depth understanding of R studio.

This course includes :

  • In depth understanding of R programming
  • Approach business problems data-analytically.

The duration of this course is 16 weeks with a pace of 10 -12 hours per week.

As far as the price is concerned, this certification course is paid and costs you around $900 but you can audit this course and learn from here for free.

Pros

  • Course audit available
  • Weekly and monthly assignment 

Cons

  • No hands-on project
  • Limited access to Material if audit course
  • Understanding of programming is required 

Become a Data Analyst (Linkedin Learning)

LinkedIn learning provides a great course for beginners who want an overview of the course on how to become a Data Analyst.

It talks about each topic very simply and it is merely a 24-hour course. So, you can complete the whole course within a week or two and get the whole idea of whether you want to specialize in this course or not. 

This course is completely free of cost and you will also earn a certificate after the completion of the course.

This course includes :

  • Basics of essential tools like excel.
  • Data visualization with Tableau and Power BI

Pros

  • Beginner-friendly
  • Bit size topic
  • Free to access

Cons

  • Does cover Complexities of topic 
  • No Hands-on Projects

Data Analyst with Python (Datacamp)

When it comes to Data Analytics, we can not leave Datacamp behind. This platform contains almost all the courses which are related to Data Science and Data Analytics.

One such course is Data Analyst with Python. This course covers all the essential topics like Python, SQL and Pandas. The best part about this course is that you will gain hands-on experience with the tools and every chapter are bite-size which is easy to understand.

The duration of this course is 66 hours and has a price tag of $300.

This course includes :

  • Learn Advance level Python,
  • Data manipulation with Pandas
  • Data visualization with Matplotlib
  • Managing database with SQL

Pros

  • Interactive exercise
  • No prior experience required
  • Learn from industry experts

Data Analyst Certification Course (Simplilearn)

Data Analyst certification course is a great course for someone who wants to learn directly from industry experts.

In collaboration with IBM, this course focuses on live training, live hackathon, interaction with IBM leadership and real-life data projects. All the vital tools such as Python, SQL and R studio are covered inside the course.

The price of this course is $640 with a duration of a little over 120 hours.

This course includes :

  • All the necessary elective : Python, R studio, Tableau, Excel, Power BI
  • 15 + Real life data analytics project
  • 120+ hours of interactive learning

 Pros

  • Live Hackathons
  • Interaction with industry experts
  • Hands on experience
  • No prerequisites required

PG Program in Data Science and Engineering (Great Learning)

Offered by Great lakes institute, PG Program in Data Science and Engineering gives you everything that a great Data Analyst should have. Along with the essential tools of Data Analytics, a 4-week capstone project is also part of the course.

The notable thing about this course is that it offers both classroom and online learning.

The classroom is a 5-months course and online being a 9-months course.

The most attractive thing about this course is that they have dedicated placement assistance that ensures a good job in well-reputed companies. 

They claim that professionals have experienced an 85% increase in their salaries after completion of the course.

This course includes :

  • All the essentials : Python programming, SQL and statistical foundations
  • 4 week capstone project

Pros 

  • Both Online and classroom learning available
  • Hands on experience
  • No prerequisites required 
  • Decicated placement assistance

Python for Data Science (Verzeo)

Offered by Verzeo, Python for Data Science covers Skills not only for Data Analysis but also for Data Science. During the course, you will be exposed to the fundamentals of python and an introduction to Machine Learning.

This course includes capstone projects and 24 hours of mentorship.

The duration of this course is about 2 months and the Price of the course starts from INR 7,000.

This course includes :

  • Fundamentals of Python
  • Data Handling using Python
  • Introduction to Machine Learning
  • Supervised and unsupervised Learning Algorithms

Pros

  • Beginner Friendly
  • Capstone projects
  • Internship Certificate After completion of Projects

You learn more about How to Become a Data Scientist on our blogs

Data Analytics Bootcamp (Springboard)

In partnership with Microsoft, Springboard provided a 6-month career-focused data analytics Bootcamp with a job guarantee.

The course offer case studies from Harvard Business School And Khan Academy and cover the advanced level of all the essential tools and 1 on 1 unlimited mentorship from industry experts.

If you don’t get a job after 6 months of completion of this course, Springboard will give you a full refund. 

It has just one drawback, it is expensive. This course will cost you $8400 or $7000 ( if you pay upfront).

But you should not worry about it since people have experienced a $25,000 increase in salary after completion of the course and springboard provides a job guarantee.

This course includes : 

  • Cover all the basics: Excel, Tableau, SQL, Python and Microsoft Power BI
  • Advance level understanding of all the essential tools
  • Case studies from Harvard Business School and Khan Academy

Pros

  • 1 on 1 Mentoring from industry experts
  • Job Guarantee
  • Capstone projects
  • Unlimited Mentor Calling

Cons

  • Expensive

Conclusion

Data Analytics is a great career option if you believe in making data-driven decisions and you want to explore this side of yours more.

Also, the demand for this job is quite high and pays really well and with time the pay scale will increase.

With the help of the above-listed courses for Data Analytics, you can achieve your goal, be it getting placed in your dream company or starting your own business and taking crucial data-driven decisions.

Frequently Asked Questions

How to become a data analyst in 2021?

Field with an emphasis on statistical and analytical skills, such as math or computer science. Consider Certification: All the above-listed courses can help you become a Data Analyst

What are the key skills required to become a data analyst?

The essential skill of data analysis areย 
1. SQL
2. Excel or spreadsheet
3. R studio
4. Critical thinking
5. Data visualization

Is Data Analyst in demand?

Yes, in 2018 the World Economic Forum published its predictions for the future workforce through 2022. In it, the WEF identified that by 2022, 85% of companies will have adopted big data and analytics technologies. The โ€œnew roleโ€ of Data Analyst is forecast to be one of the most in-demand jobs by 2026.

What is the entry-level salary for a data analyst?

Entry Level Salary in Data Analyst: An average entry Level Data Analyst/Scientist in India can make around Rs 600,000 annually. Junior Level Salary in Data Analysts: A Junior Data Analysts with the required amount of experience of at least 02 years in the field earns an average salary of Rs 9,21,478 annually.

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