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Business Analytics Training BA 15

PKR 30,000

Starting in

Learn to create data visualizations, develop predictive models, and interpret the results to enhance their business operations.
Start Date
Oct 21, 2023
End Date
Dec 10, 2023
Timing
11:00 AM-04:00 PM
Location
Online
Type
Instructor Led
Duration
80 Hours
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Overview

Learn the art and science of data driven decision making. This 8 Weeks training is ideal for career newbies and professionals who aspire to familiarize and improve their marketing programs with daily commercial/business decision making tools and techniques.
 
In this Zoom Interactive training you will expanse over modules covering Decision Making in Business, Decision Modelling & Data Visualization, Segmentation and Profiling, Lifecycle Management and finally Contextual Marketing.
 
The training is structured around industry learnings and practice, all the while augmented with speaker sessions by subject experts. At the end of the course, attendees will be adept with a comprehensive understanding of how primary & secondary data are used for improved business decision making through different models, matrixes and tools. 

Tools Covered

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  • Degree Levels: Bachelors,Masters
  • Field of Studies: Information Technology
  • Prior Job Experience: NA
  • Other Programs:

  • Business/Marketing Heads & Executives
  • C-Suite Employees responsible for determining and achieving Revenue Targets
  • Sales Heads & Executives
  • IT employees assigned for assisting Sales, Marketing and Business Analytics Departments
  • Students/graduates with business, commerce, marketing background

Meet the Instructor

Mohsin Mahmood

Ed-Tech| Data Analysis | Data Visualization | Data Driven Story Telling| Data Sciences | Machine Learning

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Course Outline

Mohsin Mahmood

Ed-Tech| Data Analysis | Data Visualization | Data Driven Story Telling| Data Sciences | Machine Learning

Professional with 13+ years of experience primarily in business analytics, data-driven product/service design and management, performance management, business analysis, data sciences, data visualization, and data-driven storytelling. I am experienced at delivering innovative, customer-centric solutions that enhance user experience and ease product/service adaptability while optimizing business profitability.

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Course Outline

Course Outline

  • Vlookup/Hlookup, Match, Find & Exact functions
  • Nested Loops of If conditions (SUMIF, SUMIFS, COUNTIF, COUNTIFS)
  • Data Validation (Fixed, Delimited)
  • Pivot table and slicer functions.
  • Delamination through excel
  • End goals in terms of revenue or investments etc. by using Goal Seek Solver
  • Key shortcuts in excel
  • Quick Analysis Tool
  • Forecasting Tool
  • Index Match Formula

  • What is SQL
  • Understanding Tables
  • How do tables communicate (Concept of Keys)
  • Installing PostgreSQL
  • Loading a dummy database
  • Selection commands
  • Comparison Operators (Utilizing WHERE clause)
  • Multiple conditions (using WHERE, AND, OR, BETWEEN, WHERE IN)
  • Concept of NULL & IS NOT NULL and examples of how to use them
  • LIKE & NOT LIKE
  • Aggregate Functions
  • Grouping and Sorting
  • Aliasing in SQL
  • Using filters with aggregate functions using HAVING

  • Types of variables
  • Continuous Vs Discrete Variables
  • What are distributions, normal distribution, standard deviation, Skewness, Mean, Median and Mode
  • Central Limit Theorem
  • Population and samples
  • Sampling distribution
  • Z-Score
  • Hypothesis testing
  • Assumptions for hypothesis testing
  • What is P-Value
  • Rejecting or accepting a hypothesis
  • Types of Data and appropriate Visualizations
  • Types of visualizations suited for types of data

  • Data Digitization and its importance in today’s corporate world
  • Data collection via primary and secondary data sources (Data Warehouse, Big Data)
  • Forecasting tactics to take improved business decisions (Single variate, multi-variate regression)
  • Hands-on forecasting on datasets
  • Single variable Linear Regression
  • Multivariate Linear Regression

  • Recency, Frequency, Monetary Value (RFM) framework
  • Business Model Canvas
  • Boston Consultancy Group (BCG) Matrix
  • Porter’s 5 Forces Model
  • SWOT Matrix
  • PEST Analysis
  • McKinsey 7S Framework
  • GE-McKinsey 9 Box Matrix

  • Building pricing and the psychology/economics behind it
  • Determine pricing at which you can maximize profits through sensitivities
  • Understanding customer segmentation
  • Hands-on segmentation on datasets
  • Market Sizing
  • Approaches to Market Sizing
  • Market sizing hands on exercise

  • Microsoft Power BI
  • Introduction to Power BI
  • Understanding Power BI’s interface
  • Walkthrough of in-built Power BI tools
  • Connecting and Shaping Data

  • Creating Data Models
  • Calculated fields with DAX
  • Common DAX Functions
  • Developing reports
  • Using filters with aggregate functions using HAVING

Our Methodology

Industry Usecases

With real world projects and immersive content built in partnership with top tier companies, you’ll master the tech skills companies want.

Technical Support

Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you and keeping you on track.

Career Mentorship

You’ll have access to resume support, portfolio review and optimization to help you advance your career and land a high-paying role.

Frequently Asked Questions

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Yes, You will be awarded a course completion certificate by Dice Analytics if you pass the course.

Since our trainings are led by Industry Experts so it is made sure that content covered in workshop is designed with hand on knowledge of more than 70-75 % along with supporting theory.

For this professional workshop, you need to have a PC with minimum 4GB RAM and ideally 8GB RAM.

Don’t worry! We have got you covered. You shall be shared recorded lectures after each session, in case you want to revise your concepts or miss the lecture due to some personal or professional commitments.

Yes, you can rejoin the training within the span of an year of your registration. Please note following conditions in case you’re rejoining.
1) There are only 5 seats specified for rejoiners in each iteration.
2) These seats will be served on first come first basis.
3) If you have not submitted your complete fee, you may not be able to rejoin. Your registration would be canceled
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