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I have recently been asked questions surrounding Data Analyst roles and what’s the best way to get there. I researched and found some online certification courses that can kickstart your Data Analyst career.

So you do not need to search anymore, I’ve created the list for you. Let’s go.

Google Data Analytics Professional Certificate

Click here for the course.

• Rating: 4.8/5
• Duration: 6 Months (Under 10 hours of study a week)
• Difficulty: Beginner Level

Pace: 100% Self-Paced. Learn on your own time

Provided by Google, this course provides you with in-demand skills for a career in data analytics. It consists of 8 courses:

1. Foundations: Data, Data, Everywhere
2. Ask Questions to Make Data-Driven Decisions
3. Prepare Data for Exploration
4. Process Data from Dirty to Clean
5. Analyze Data to Answer Questions
6. Share Data Through the Art of Visualization
7. Data Analysis with R Programming
8. Google Data Analytics Capstone: Complete a Case Study

These courses will give you a better understanding of data in general, how to explore data, how to use data to answer specific business-driven questions, and also a level of programming. The course is very popular with these being the most common job titles: Junior Data Analyst, Junior Data Scientist, Finance Analyst, Operations Analyst, and more.

IBM Data Analyst Professional Certificate

Click here for the course.

• Rating: 4.6/5
• Duration: 11 Months (Under 3 hours of study a week)
• Difficulty: Beginner Level
• Pace: 100% Self-Paced. Learn on your own time

Provided by IBM, this course provides you with core principles of data analysis and a better understanding of data manipulation, analytical techniques, and more. It consists of 8 courses:

1. Introduction to Data Analytics
2. Excel Basics for Data Analysis
3. Data Visualization and Dashboards with Excel and Cognos
4. Python for Data Science, AI & Development
5. Python Project for Data Science
6. Databases and SQL for Data Science with Python
7. Data Analysis with Python
8. Data Visualization with Python
9. IBM Data Analyst Capstone Project

These courses will get your data analyst career up and running by providing you with the principles and fundamentals of data analysis while being able to gain hands-on skills. You will also get project experience and data analysis tools such as SQL, Python, and Jupyter Notebooks helping you understand what your day-to-day as a Data Analyst will look like.

Data Analyst Masters Program by Edureka

Click here for the course.

• Duration: 250+ Hours
• Difficulty: Beginner Level
• Pace: 100% Self-Paced. Learn on your own time

Provided by Edureka, the Data Analyst Course increases your knowledge and expertise in tools and systems frequently used by Data Analytics Professionals. You will further go into in-depth training on Statistics, Data Analytics with R and Tableau. It consists of 5 courses, which have more in depths modules in each one:

1. Statistics Essentials for Analytics
2. Data Analytics with R Certification
3. Tableau Training & Certification
4. Microsoft Power BI Training
5. AWS S3

If you want to learn more about the modules, you have the opportunity to download the curriculum. Areas you will learn more about: Statistics, Exploratory Analysis, Data Visualization, Probability, Advanced SAS Procedures, Tableau, Bayesian Inference, Regression Modeling, and more.

Data Analyst with Python by DataCamp

Click here for the course.

• Programming Language: Python
• Duration: 36 hours
• Difficulty: Beginner/Intermediate Level
• Pace: 100% Self-Paced. Learn on your own time

If you are looking to become a Data Analyst who specializes in Python, this DataCamp course is for you. You will learn how to import, clean, manipulate, and visualize data with interactive exercises. It consists of 11 courses:

1. Introduction to Data Science in Python
2. Intermediate Python
3. Data Manipulation with Pandas
4. Joining Data with Pandas
5. Introduction to Statistics in Python
6. Introduction to Data Visualization with Seaborn
7. Data Manipulation with Python
8. Importing & Cleaning Data with Python
9. Exploratory Data Analysis in Python
10. Sampling in Python
11. Hypothesis Testing in Python

You will gain experience working with real-life datasets to help implement the skills you learn. Many courses forget about the importance of Statistics in relation to Data, however, this course provides you with that knowledge and lets you further explore it with sample and hypothesis testing.

Become a Data Analyst by Udacity

Click here for the course.

• Rating: 4.8/5
• Duration: 4 Months (At 10 hrs of study a week)
• Difficulty: Beginner Level
• Pace: 100% Self-Paced. Learn on your own time
• Prerequisite: Python and SQL

Provided by Udacity and in collaboration with Kaggle, this Data Analysis with Python and SQL course helps you to advance your current programming skills and improve your skills in working with messy, complex datasets. It consists of 4 sections:

1. Introduction to Data Analysis
2. Practical Statistics
3. Data Wrangling
4. Data Visualization with Python

You will work with real-world projects, Knowledge, Workspaces, quizzes, and custom study plans and have a progression tracker. You will also be provided with technical mentor support and personal career advice to help you land the Data Analyst job you want.

Want to Learn More?

Here are some other articles about Data Analytics that can help your journey:

• 7 Data Analytics Interview Questions & Answers
• Top 7 YouTube Courses on Data Analytics

 
 
Nisha Arya is a Data Scientist and Freelance Technical Writer. She is particularly interested in providing Data Science career advice or tutorials and theory based knowledge around Data Science. She also wishes to explore the different ways Artificial Intelligence is/can benefit the longevity of human life. A keen learner, seeking to broaden her tech knowledge and writing skills, whilst helping guide others.