Top 8 Data Analyst Courses to Boost Your Career in 2024

Download ebook

Are you Stuck in your career? Or struggling with a mediocre salary? Ever considered a career or enhanced your skills as a data analyst? Look no further! This is an article that will help you explore the top 8 Data Analyst Courses of 2024 and take your career to the next level. You may be a beginner or an experienced professional, but finding the right course is indeed very crucial for staying ahead in this rapidly evolving field. So let’s dive into this deep sea and discover the top data analytics courses that can potentially empower you with the knowledge and expertise you need to evolve in this industry.

Let’s Understand “What” is Data Analysis?

Big Data Analysis is the method/technique, tool, and application that you use to collect, process, and derive insights from varied, high-volume, high-velocity data sets. Big Data Analysts, mostly, feature data that is generated at a high speed and varied in form, ranging from structured (database tables, Excel sheets) to semi-structured (XML files, webpages) to unstructured (images, audio files).

Data Analysis and Data Analysts

Data analysts work in every field you can imagine.  Google, Amazon, Facebook, Apple, and countless other tech companies function smoothly because of data analysts and their technical skills to understand their user behavior, optimize platforms, etc. As a matter of fact, even smaller start-ups, Banking organizations, Government sector agencies, and many other companies these days are looking for data analysts. So as a data analyst, you do not limit your job search only to the tech space, but you have a space to fill in almost every job sector. As technical it may sound, becoming a Big Data Analyst is, however, not quite difficult. These data analyst certification courses will make your whole journey convenient. And the best part is that one can become a data analyst even if they do not have an IT background. Let’s talk about the 8 best data analyst courses.

Best 8 Data Analyst Courses

1. Post Graduate Data Analyst Course by Henry Harvin

Undoubtedly, Henry Harvin® is one of the largest Multinational Higher EdTech companies known globally. They offer doctorate, degree, diploma, and even certification courses worldwide. Henry Harvin has been operating since 2013 and currently has a portfolio of 1200+ courses across 37+ categories. Furthermore, Regarded as one of the oldest EdTech companies, Henry Harvin has a team of 600+ employees, and 1700+ consultants with offices across 13+ cities in the US, UK, UAE, and India.

Indeed, with Henry Harvin master the Data Analytical skills and rejuvenate your career with the Post Graduate Data Analyst Course by Henry Harvin®. Designed by experts, this course comes with real-life projects and industry-related case studies that will certainly give your career a well deserved boost as a data analyst.

Syllabus includes:

• Data Analyst Methodology
• R programming, SQL, Python programming
• Big data Hadoop
• Also, Data Analysis with Python
• Statistics and Probability
• Power BI

Why Choose Henry Harvin:

Henry Harvin provides personalized job consulting along with Industry based hands-on experience of real life projects and programming tools. Also, their curriculum is designed to match the understanding and requirements of candidates from Non-IT background as well. This course is trusted by Industry leaders worldwide thus paving the way for better job opportunities for data analysts.

Course Duration: Self paced course to suit your schedule. 

2. IBM Data Analyst Professional Certificate (Coursera)

This one is one of the best data analyst courses offered by IBM that scales all the fundamental skills required for a data analyst role. It prepares you with the basics like data analysis methodologies before diving into the topics of SQL, Python programming, data visualization, and a capstone project. This course also comes with the choice of flexibility in terms of course duration making it an excellent choice for working professionals.

Syllabus includes:

• Data Analyst Methodology
• Excel, SQL, Python programming
• Data Visualization with Python
• It also Includes Data Analysis with Python
• Data Analyst Capstone Project

Why Choose this:

This professional data analyst course from IBM is largely valued by the overall IT sector. Thus making it a course heavily in demand.

Course Duration: Approximately 8 months (5-6 hours/week) 

3. Google Data Analytics Professional Certificate (Coursera)

This curriculum is Designed by Google. This is a beginner-friendly program that teaches you how to use the fundamental tools like SQL, R, and Tableau to process, analyze, and visualize data. Thus making it suitable for even candidates who do not come from an IT background yet want to make it big in the IT sector. 

Syllabus includes:

• Foundations: Data, Analytics, Visualization
• Ask Questions to Make Data-Driven Decisions
• Prepare Data for Exploration
• Data Processing with SQL & R
• Visualize Data with Tableau

Why Choose this:

Without a doubt, this is a great entry point for complete beginners. Learning job-ready skills directly from Google’s curriculum and working on case studies from Google’s own analytics processes is the USP of this course.

Course Duration: Approximately 6 months (5 hours/week)

4. AWS Data Analytics Certification Course (Udemy)

This is one wonderful training program that prepares for the AWS Certified Data Analytics – Speciality certification exam. This course covers AWS analytics services. So here you learn Data Analysis from the best of data analysts.

Syllabus includes:

• AWS Analytics Services Overview
• AWS Glue, Athena, Redshift
• Kinesis, QuickSight, Data Pipeline
• EMR, Lake Formation, MSK
• Practice Tests & Mock Exams

Why Choose this:

What’s better than Amazon when it comes to data analysis? They also affiliate you with practice exams and hands-on labs for effective preparation, thus, making this self-paced learning program makes it more of a cakewalk.

Course Duration: Approximately 26.5 hours for this program.

5. Data Analysis Professional Certificate Course(Harvard/edX)

One rigorous online program from Harvard University for aspiring data analysts. Here the curriculum emphasizes data wrangling, visualization, and analysis using R programming from statistical foundations.

Syllabus includes:

• Data Analysis: Statistics & R
• Visualization
• Wrangling
• Data Analysis: Capstone

Why Choose this:

This is one absolutely high-quality data analyst course designed by experts from Harvard University. With hands-on case studies using real-world datasets you get to solidify your knowledge and much more. This course also offers a self-paced option of your choice.

Course Duration: 8 courses, 4-8 hours/week each

6. Data Analyst Course – Microsoft Professional Program(edX)

A comprehensive data analyst program from Microsoft and mate universities. For your benefit this course covers statistics, Python programming, machine learning and ethics as well.

Syllabus includes:

• Data Analysis Orientation
• Introduction to Python
• Querying Data with SQL
• Statistics and Machine Learning
• Machine Learning with Python

Why Choose this:

Undoubtedly, a stylish platform for you to get trained on the latest data analytics techniques and tools using Microsoft’s cloud technologies. Alongside they also offer you hands-on labs, capstone projects, and Microsoft certification prep.

Course Duration: 10 courses, 4 to 6 hours per week each

7. Data Analytics with Python for Data Analysts(DataCamp)

Furthermore, an amazingly interactive online course is well focused on teaching Python and its popular data analytics libraries like Pandas, NumPy, Matplotlib for data manipulation, analysis and visualization.

Syllabus includes:

• Introduction to Python
• Intermediate Python
• Data Manipulation with Pandas
• Joining Data with Pandas
• Introduction to Data Visualization

Why Choose this:

Perfectly suitable for beginners who want to master Python for data analytics from scratch. Well designed exercise-based learning. Also comes with feedback sessions. And this tracks skill and helps in building skills required for data analyst job roles.

Course Duration: Self-paced, 70+ hours of content

8. Data Analyst Nanodegree (Udacity) 

This is a project-based online curriculum designed by Udacity to make you proficient for data analyst jobs. Moreover, learn SQL, Python, statistics, and data wrangling by getting this golden opportunity of working on real-world projects with guidance from instructors.

Syllabus includes:

• Introduction to Data Analysis
• Practical Statistics
• Data Wrangling with SQL & Python
• Furthermore, Data Visualisation with Python
• AB Testing & Experimental Design

Why Choose this:

Indeed a great choice. Because you get personalized mentorship and technical mastery through projects. Also career coaching, and expert instruction goes hand in hand. Certainly, these innovative nanodegree programs by Udacity are trusted by the top notch companies of the industry.

Course Duration: Approximately 4 months that comes to around 10 hours/week.

Conclusion

Certainly, Data Analysis is transforming the IT world. Soon you will see the data analytics industry easily surpass $393.53 billion by 2032. Subsequently the job openings are also going to increase by at least 20% in the next 6 years for the trained data analysts. As businesses continue to trust data-driven insights, the demand for trained data analyst professionals is surely soaring across industries. Thus Data Analyst Courses in India can serve as a stepping stone to enter the field by providing comprehensive knowledge, practical skills, and industry experience. 

Recommended Reads

1. The Future of Data Analysis: Trends and Courses to Watch
2. Big Data Analytics: Trends and Best Practices
3. Data Analyst Job Description-Qualification, Skills And Salary

FAQs

1. What is the future of Data Analysis?

You can easily expect the demand for data analysts to increase tremendously because pretty much every organization depends heavily on data-driven decision-making across all industries. Because of the growing volume and complexity of data across varied channels, the importance of data analysis intensifies.  

2. Coming from a non-IT background, is data analysis worth the risk?

Although the Data Science sector is not at all confined to those with programming or IT backgrounds. Surprisingly many prominent Data Scientists began their careers in Data Science with no prior knowledge of coding or IT background.

3. Is Data Analysis and Data Science the same?

However, Data science is an umbrella term for multiple fields of work that you can use to mine large datasets. On the other hand, Data analytics software is a more focused version of . In fact you can consider data analysis as a part of Data Science.

4. Will AI replace Data Analysts?

Surely, AI is a tool that you use for automation of routine task that allows analysts to focus on more complex analysis and strategic decision-making. Therefore, at no point of time the  human element of creativity, critical thinking, and contextual understanding is replaceable.

5. Three things to remember before choosing a data analysis course.

The primary things to remember are the Course Content, Time Management and of course Pricing. So go ahead, suit yourself.

Download ebook