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BUSINESS ANALYTICS COURSE ONLINE


In today’s complex business environment opinion based decisions results in business results mired with sporadic successes. The development of company analytics helps organizations to address this presssing issue with data-driven decisions. Business analytics is about the use of extensive data that are available either within the organization or collected through secondary sources to make business decisions that are related. Business analytics takes deciding from ‘Art’ to ‘Science’ finish.
SESSIONS
In This is an program that is all-out enables participants to familiarise in Microsoft Excel’s data handling and managing features. The 12-hour on-line school light-emitting diode live on-line coaching aims at exploiting, analysing and interpreting business data as a vital artifice.
Note: The sessions are Live, Faculty-Led and taught by industrial experts having real-time work experience of experiencing handled big data.
CHAPTERS
Chapter-1: Introduction to Analytics, Data & Basic Statistics
Exactly how is Data that is big changing way things were? – Big Data in HR. – How big is Big Data? – describing the evolution of Big Data Revolution. Technology Driving Big Data.
Data Deluge
What is structured data? – Web 2.0 & Arrival of Big Data. –Unstructured Data. – Semi-Structured Data. Distinction between structured and Semistructured Data – Composition of Big Data then and now. – Enterprise Applications & Bespoke IT Applications.
Chapter-2: Demystifying Big data
Characteristics of Big Information. – Deep Web & Surface Online.
Getting started off with Company Intelligence (BI)
Definition of Business Intelligence. – Features of Company Intelligence. – Visibility provided by BI. – distinctions between ERP & BI. – Difference between Big information & Business Intelligence.
Chapter-3: Data Analytics Microsoft that is using Excel
Use succeed to sort data with pivot tables-create histograms and other charts for data summary that is visualization-calculate indicator variables for qualitative information.
Chapter-4: Measuring association between variables
Visually examine knowledge (via surpass charts, sparklines, etc.) and identify trends-Construct linear regression models in Excel-Evaluate linear regression model quality-Use models to forecast demand and interface with Excel Solver to help make operational decisions.
Analytics applications
Discover how to forecast sales using trend data – Prepare pro-forma financial statements – Understand the hyperlink between growth and financing needs – Learn to calculate sustainable growth price algebraically and also simply by using succeed Goal seek.
Forecasting Budgeting numbers
Basics of Time Series, Time Series on Summarised Reports & Forecasting Logistic Regression, Decision Trees, Creating an insurance policy on basics of Analytics.
Chapter-5: Information Management in Analytics
Analytic software system – R, Excel, Solver, Basics of massive knowledge – Hadoop, HDFS, Hive, Pig, Python.
SCHEDULE
Company Analytics Training – Online Batch – 20 Hours
Part-I: Faculty-Led Online Training – 12 Hours
Training on Friday & Saturday for 3 weeks
Friday Time: 6:30 PM to 8:30 PM (IST)
Saturday Time: 03:00 PM to 05:00 PM (IST)
Part-II: Training Through Training Management System – (LMS) – 8 Hours
Training for a length of 6 hours at your convenience
You will receive a login that is dedicated access our LMS.
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