DATA ANALYTICS BEGINNER TO EXPERT
                     DATA ANALYTIC
S BEGINNER TO 
EXPERT
INTRODUCTION TO DATA 
ANALYTICS
 Data analytics is the collection, transformation, and organization of data in order to draw 
conclusions, make predictions, and drive informed decision making. 
Importance of Data Analytics
 Data analytics is important because it helps businesses optimize their performances. 
Implementing it into the business model means companies can help reduce costs by identifying 
more efficient ways of doing business and by storing large amounts of data.
  A company can also use data analytics to make better business decisions and help analyze 
customer trends and satisfaction, which can lead to new—and better—products and services. 
Understanding Of Data 
analytics with Example
 For example, manufacturing companies often record the runtime, downtime, and work queue 
for various machines and then analyze the data to better plan the workloads so the machines 
operate closer to peak capacity.
Types of Data Analytics
Applications of Data 
Analytics
 Business Intelligence
 Customer Analytics
 Fraud Detection
 Risk Management
 Operations Management
Tools and Techniques for 
Data Analytics
 Data Mining
 Machine Learning
 Statistical Analysis
 Visualization
Data Analytics Process
 Data Collection
 Data Preparation
 Data Analysis
 Data Visualization
 Decision Making
Benefits of Data Analytics
 Improved Decision Making
 Increased Efficiency and Productivity
 Better Customer Satisfaction
 Competitive Advantage
FUTURE OF DATA 
ANALYTICS
 India’s data analytics industry is huge and expected to touch US$ 118.7 billion by 2026 by 
growing at a steady pace.
 The data analytics industry is projected to create over 11 million jobs by 2026 and increase 
investments in AI and machine learning by 33.49% 
Jobs in Data Analytics
 Data Analyst: The average salary for a Data Analyst in India is around INR 4-5 lakhs per annum, 
depending on experience and location.
 Business Analyst: The average salary for a Business Analyst in India is around INR 6-7 lakhs per annum, 
depending on experience and location.
 Data Scientist: The average salary for a Data Scientist in India is around INR 10-12 lakhs per annum, 
depending on experience and location.
 Data Engineer: The average salary for a Data Engineer in India is around INR 7-9 lakhs per annum, 
depending on experience and location.
 Business Intelligence Developer: The average salary for a Business Intelligence Developer in India is 
around INR 6-8 lakhs per annum, depending on experience and location.
 Machine Learning Engineer: The average salary for a Machine Learning Engineer in India is around INR 
10-15 lakhs per annum, depending on experience and location.
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