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Data Analyst

Are you interested in becoming a data analyst? Data analysts play a crucial role in today's data-driven world, extracting valuable insights from vast amounts of information. To embark on the career path of a data analyst, it's essential to equip yourself with the right knowledge and skills. At Great Learning, we offer a range of free courses that can help you get started on your journey to becoming a data analyst. Explore the best data analyst courses online and pave the way to a rewarding career in data analysis.

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More About Data Analyst

Data analysts gather and interpret data to solve specific issues. Starting as entry-level analysts, they can progress to roles like data scientist, analytics manager, and consultant. Key skills include data analysis, statistical analysis, data visualization, programming (Python, R), database querying, and problem-solving.

Start your journey for free

Begin your learning experience and become a data analyst with certificate courses curated to land your dream job.

Skills Covered in this Path

  • Data Science
  • Analytics Landscape
  • Data Science Life Cycle fundamentals
  • Programming Concepts
  • Python Basics
  • Variables and Data types in Python
  • Operators and Strings in Python
  • Python Data Structures
  • Control Flow Statements and Functions
  • OOPs
  • EDA
  • Python Jupyter Notebook
  • Pandas
  • Matplotlib
  • Seaborn
  • Data Analysis
  • Basics of Probability
  • Marginal Probability
  • Bayes Theorem
  • Probability
  • Statistics
  • Normal Distribution
  • Sampling Distribution
  • Hypothesis
  • Central Limit Theorem
  • Statistical Analysis
  • EDA
  • Matplotlib in Hindi
  • Seaborn in Hindi
  • Tableau
  • Data Visualization
  • Data Science
  • Data Visualization
  • Power BI
  • Components of Power BI
  • Visual Analytics
  • Practical visualization walkthrough
  • IPL data analysis with Python
  • Data Analysis
  • SQL
  • SQL with Python
  • Triggers
  • SQL hands-on session
  • Data Analysis with Python
  • Demonstration with IPL dataset
  • Demonstration with FIFA dataset
  • Data Analysis
  • Visualising
  • Regression Analysis
  • Components of Data Science
  • Data Science Architecture
  • Skills needed to learn Python
  • NumPy and Pandas libraries
  • HR Database Project
  • ggplot2
  • EDA

Free Courses

1

Data Science Foundations image

Data Science Foundations

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4.45
2 hours
563.4K+
Learners
Beginner
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2

Python Fundamentals for Beginners image

Python Fundamentals for Beginners

★
4.57
4 hours
648.3K+
Learners
Beginner
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3

Python for Data Analysis image

Python for Data Analysis

★
4.56
2 hours
42.9K+
Learners
Beginner
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4

Probability for Data Science image

Probability for Data Science

★
4.48
2 hours
46.7K+
Learners
Beginner
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5

Statistics for Data Science image

Statistics for Data Science

★
4.61
8 hours
62.4K+
Learners
Beginner
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6

Statistical Analysis image

Statistical Analysis

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4.49
1 hours
13.9K+
Learners
Beginner
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7

Data Visualisation with Python image

Data Visualisation with Python

★
4.56
2 hours
9.5K+
Learners
Beginner
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8

Data Visualization using Tableau image

Data Visualization using Tableau

★
4.52
2 hours
102.5K+
Learners
Beginner
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9

Data Visualization With Power BI image

Data Visualization With Power BI

★
4.5
2 hours
178.6K+
Learners
Beginner
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10

Basics of EDA with Python image

Basics of EDA with Python

★
4.55
2 hours
10.4K+
Learners
Beginner
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11

SQL for Data Science image

SQL for Data Science

★
4.51
3 hours
108.8K+
Learners
Intermediate
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12

What is SQL Triggers? image

What is SQL Triggers?

★
4.45
1 hours
11.4K+
Learners
Intermediate
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13

Analytics with SQL and Python image

Analytics with SQL and Python

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4.47
2 hours
27K+
Learners
Beginner
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14

Data Analysis Projects image

Data Analysis Projects

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4.46
1 hours
32.8K+
Learners
Beginner
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Optional Free Courses

1

Data Mining image

Data Mining

★
4.49
3 hours
33.1K+
Learners
Intermediate
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2

Python for Data Science image

Python for Data Science

★
4.43
2 hours
94.6K+
Learners
Beginner
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3

HR Database Management System image

HR Database Management System

★
4.53
1 hours
24.7K+
Learners
Beginner
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4

Data Visualisation with R image

Data Visualisation with R

★
4.58
1 hours
5.2K+
Learners
Beginner
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Frequently Asked Questions

What do you need to become a Data Analyst?

Data Analysis is one of the most important, trendy, and in-demand roles in the IT industry today. You need certain skills to earn the badge, they include:

  • High-level mathematical problems solving ability
  • Proficiency in programming languages, like SQL, Oracle, and Python
  • Ability to analyze, model, and interpret data
  • Problem-solving skills
  • A methodical and logical approach to solving
  • Accuracy and attention to details

How should I start to learn Data Analyst?

Python and R programming languages are prerequisites to learn Data Analysis. You can then learn other skills such as summarizing data sets, correlation, and random forests. Apply the earned skills to then solve problems in real-time. As a beginner, you can start by acquiring the following skills:

  • Data Visualization
  • Communication 
  • Problem-Solving
  • Data Cleansing 
  • Data Warehouse 
  • Analytical Skills

Which course is best for Data Analysts?

Data Analysis deals with inspecting, cleaning, transforming, and modeling to process raw data into useful information to draw conclusions, and support decision-making. A data analyst is involved in all these processes. To gain all the relevant skills required such as:

  • SQL
  • Data Visualization
  • R or Python Programming (for Statistical programming)
  • Microsoft Excel
  • Critical/Analytical Thinking
  • Machine Learning,

You can register for the Applied Data Analytics course and master Data Science Analytics through live virtual sessions from MIT. 

What are the requirements to become a Data Analyst?

A basic bachelor’s degree in Computer Science is an entry-level requirement, but to be proficient in Data Analytics, you will have to master the subject. The other requirements for a Data Analyst are:

  • Good knowledge of programming languages such as R or Python for statistical analysis. 
  • Hands-on experience in Data Visualization tools
  • Expertise in Machine Learning concepts
  • Develop analytical skills
  • Acquire the best knowledge on the domain
  • Develop logical thinking skills

If you are working and can’t attend university, you can register for a Data Analytics course for working professionals and earn all the requirements. 

Is Data Analyst a good career?

Yes, Data Analyst is a good career since Data Analysis is one of the most in-demand skills around the world today. To excel in Data Analytics, one must be a master's degree holder in Data Analytics and have good domain knowledge. It is also important to earn relevant skills such as R or Python programming for statistical analysis, data visualization, machine learning, analytical skills, logical thinking, and problem-solving. With interest and expert guidance, you will be able to crack all the requirements and be a proficient Data Analyst.

How long does it take to become a Data Analyst after the 12th?

It takes four years to complete a relevant bachelor’s degree in the field of computer science. But if you want to master the domain, you will have to pursue highers in Data Science for another two years. The time you need to be a Data Analyst also depends on the amount of time you consistently invest in gaining relevant skills and the breaks you take. However, it ideally takes from four to six years to be a Data Analyst.