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Business Analytics using Python

Business Analytics using Python Online Training Course is design for professionals to understand analytics-based business decision making to drive the company's ROI.

  • 50000
  • 55000
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  • Course Includes
  • Live Class Practical Oriented Training
  • 120 + Hrs Instructor LED Training
  • 60 + Hrs Practical Exercise
  • 35 + Hrs Project Work & Assignment
  • Timely Doubt Resolution
  • Dedicated Student Success Mentor
  • Certification & Job Assistance
  • Free Access to Workshop & Webinar
  • No Cost EMI Option
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What you will learn

  • Use basic statistical concepts on multiple types of data to prepare reports.
  • Solve complex problems with Python - the most essential tools for Finance and analytics-driven companies.
  • Optimize business situations that involve whole numbers, take decisions that involve multiple input variables to predict...
  • Model decisions under a variety of future uncertain states, depending on the decision maker’s proneness or aversion to r...
  • Compute correlation between data points in a time series.
  • Compute the regression model for time series data that has a correlation within itself.
  • Test hypothesis for experiments involving different treatments and Identify the source of differences to pinpoint which...

Requirements

  • basic understanding of Computer Programming Languages. A basic understanding of statistics

Description

|| About Business Analytics using Python Training Course

Python is the most popular language used in the field of Business Analytics. Even industry giants like Google and Netflix use it to generate insights and build better products. It can be quickly learnt and is versatile, making life easy for people who work with tonnes of data. BIT’s comprehensive Business Analytics using Python online training course is tailored to train you on all aspects of Business Analytics; starting from exploratory data analysis, statistical and quantitative analysis, testing analytics models and forecasting through predictive modelling using Python.

 

This Business Analytics course encompasses basic statistical concepts to advanced analytics and predictive modeling techniques. You will learn all the skills required for a promising career as a Business Analyst and solve real-world business problems. This certificate course will help you to develop comprehensive data science skills pertaining to data visualization descriptive and predictive analytics for driving smart business decisions. Objective of this course is to impart knowledge on use of text mining techniques for deriving business intelligence to achieve organizational goals. Use of Python based software platform to build, assess, and compare models based on real datasets and cases with an easy-to-follow learning curve. In this course data visualization and statistical methods implemented in Python for analyzing business data, whether sales, personnel, logistics, marketing, or financial. You'll explore the nature of business data, the application and interpretation of statistical and machine learning methods for gaining insight into your business, and how to present conclusions in tabular and graphical formats.

Course Content

Live Lecture

·      Business Analytics

·      Describe the evolution of analytics

·      Describe the differences between analytics and analysis

·      Explain the concept of insights

·      Describe the broad types of business analytics

·      Describe how organisations benefit from using analytics

·      Practical Exercise              

Live Lecture

·      Importance of data in business analytics

·      Differences between data, information and knowledge

·      The various stages that an organization goes through in terms of data maturity

·      Practical Exercise              

Live Lecture

·      Differences between Business Analytics and Business Intelligence

·      Describe the two major components within Business Analytics and Business Intelligence

·      Data Mining technique helps both Business Intelligence and Business Analytics

·      Analytical Decision-Making Process

·      Analysing Business Problems

·      Practical Exercise              

Live Lecture

·      Capabilities social media analytics

·      Common goals of social media analytics

·      Practical Exercise