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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 Path

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

  • Collection & preprocessing
  • Statistical analysis
  • Probability
  • Data acquisition
  • Supervised & unsupervised learning
  • Feature engineering
  • Model evaluation
  • Classification
  • Prediction
  • Clustering
  • R & Python analysis
  • Data visualization
  • Ethics & privacy
  • Data Analysis Fundamentals
  • Python Jupyter Notebook
  • Working with Data Libraries
  • Dataset Management
  • Analyzing IPL and Football Datasets
  • Analyzing Marvel Superheroes Dataset
  • Creating Data Visualizations
  • Loading Multiple Dataset Formats
  • Basics of Probability
  • Marginal Probability
  • Bayes Theorem
  • Probability
  • Population
  • Samples
  • Statistical analysis
  • Hypothesis testing
  • Statistical distributions
  • Statistical Analysis
  • EDA
  • Business Intelligence Fundamentals
  • Data Visualization Principles
  • Introduction to Tableau
  • Understanding Data Types
  • Navigating the Tableau Interface
  • Creating Dashboards
  • Visual Analytics Techniques
  • Hands-on Tableau Exercises
  • Integrating Data Sources.
  • Power BI usage
  • data loading
  • creating reports
  • dashboards
  • slicers & filters
  • visual interactivity
  • Practical visualization walkthrough
  • IPL data analysis with Python
  • Data Analysis
  • SQL
  • SQLite
  • Power BI
  • SQL With Python
  • SQL Clauses
  • GROUP BY Statement
  • HAVING Clause
  • Aliases In SQL
  • Joins in SQL
  • Subqueries
  • Python Concepts With SQL
  • Triggers
  • Data Retrieval Using SQL
  • SQL Hands-On Session
  • Data Analysis With Python
  • Python Project On IPL Dataset
  • Python Project On FIFA Dataset
  • Data Analysis
  • Data Projects
  • Uber Data Analysis
  • Indian Education System
  • Indian Food Analysis
  • Amazon Bestselling Books
  • Data Science Applications
  • Data Analytics
  • Data Visualization
  • Business Analysis
  • Resume Building
  • Interview Preparation
  • Data Description
  • Basic Data Understanding
  • Data Manipulation
  • Skewness Using Histograms & Density Curves
  • Visualising Outliers Using Boxplots
  • Visualising Correlation Using Scatter Plots/Heatmaps
  • What Is Machine Learning
  • Regression Analysis
  • Linear Reg
  • Data Analytics
  • Problem-solving
  • Insights
  • Predictive Modeling
  • Business Intelligence
  • Data Science Process
  • Data Preprocessing Techniques
  • Data Science Components
  • Career Trajectory
  • Programming Basics
  • Data Handling using Python
  • Numpy and Pandas
  • HR Database Project
  • SQL Queries
  • Real-World SQL Usage
  • HR Database System
  • Data Storage
  • Data Retrieval
  • Data Manipulation
  • HR Processes Representation

Free Courses

1

Data Science Foundations image

Data Science Foundations

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4.45
2 hours
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2

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Python for Data Analysis

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4.5
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3

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Probability for Data Science

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4

Statistics for Data Science image

Statistics for Data Science

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4.58
8 hours
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5

Statistical Analysis image

Statistical Analysis

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4.5
1 hours
18.7K+
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6

Data Visualization using Tableau image

Data Visualization using Tableau

★
4.52
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7

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Data Visualization With Power BI

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2 hours
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8

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Basics of EDA with Python

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4.55
2 hours
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9

SQL for Data Science image

SQL for Data Science

★
4.51
3 hours
173.5K+
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10

SQL Triggers for Beginners image

SQL Triggers for Beginners

★
4.48
1 hours
14.4K+
Learners
Intermediate
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11

Analytics with SQL and Python in Hindi image

Analytics with SQL and Python in Hindi

★
4.46
2 hours
34.7K+
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Beginner
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12

Data Analysis Projects image

Data Analysis Projects

★
4.47
1 hours
48.4K+
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Beginner
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Optional Free Courses

1

Data Mining image

Data Mining

★
4.51
3 hours
41.7K+
Learners
Intermediate
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2

Python for Data Science image

Python for Data Science

★
4.43
2 hours
118.1K+
Learners
Beginner
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3

HR Database Management System image

HR Database Management System

★
4.49
1 hours
29.9K+
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.