Intro to Data Analysis
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INTRODUCTION
Data Analysis is the process of systematically applying statistical and/or logical techniques to describe and illustrate, condense and recap, and evaluate data. An essential component of ensuring data integrity is the accurate and appropriate analysis of research findings. Improper statistical analyses distort scientific findings, mislead casual readers , and may negatively influence the public perception of research. Integrity issues are just as relevant to analysis of non-statistical data as well.
A simple example of Data analysis is whenever we take any decision in our day-to-day life is by thinking about what happened last time or what will happen by choosing that particular decision.
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COURSE OBJECTIVES
- Analyze data and use statistics in practice
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Explain different behaviors and events
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Prepare data for the analysis
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How to collect data and create a survey
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How to visualize data and find ideas for data research
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Tell the story through data
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Draw conclusions and have profits from the results of your data analysis
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COURSE AUDIENCE
This course is made for :
- Beginners data analysts
- IT specialists
- Sales and Marketing employees
- Commercial excellence officers
- Brand developers
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COURSE OUTLINE
Day One
Introduction to data analysis
- Dealing with different types of data
- Data science and machine learning
- Data science methodology
Day Two
Types of data
- Terminology of data analysis
- Quantitative and Qualitative data
- Statistical parameters
Day Three
Data visualization
- Importance of visualization
- Dashboard based visualization
- Visualization tools
Day Four
Data science
- Data science domain
- E-Commerce and crime agencies
- Data science business strategy
Day Five
Analysis framework
- Data preparation
- Model monitoring
- Customer analysis framework
