Data Analytics from Beginner to Expert

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DATA ANALYTICS BEGINNER TO EXPERT
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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. 

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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 newand betterproducts and services. 

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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.

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Types of Data Analytics
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Applications of Data Analytics

• Business Intelligence
• Customer Analytics
• Fraud Detection
• Risk Management
• Operations Management

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Tools and Techniques for Data Analytics

• Data Mining
• Machine Learning
• Statistical Analysis
• Visualization

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Data Analytics Process

• Data Collection
• Data Preparation
• Data Analysis
• Data Visualization
• Decision Making

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Benefits of Data Analytics

• Improved Decision Making
• Increased Efficiency and Productivity
• Better Customer Satisfaction
• Competitive Advantage

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FUTURE OF DATA ANALYTICS

• Indias 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 

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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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