The Data Science Diploma course is designed to give the tools and resources required to transform the deluge of information into useful results by managing and utilizing the resources available at your disposal, the major focus area is Microsoft Excel, Power BI, and SQL.
Programs features
Learning Formula
Online/Blended
Learning Process
4 Times A Year
Language
English
Get to know about this short course and what it offers
OVERVIEW
Get to know about this short course and what it offers
AIM AND OBJECTIVES
This practical business analytics session aims to simulate a typical business analysis project. This would cover essentials task and deliverables which includes:
- Understanding the business goal of a particular analysis.
- Selection and determination of the appropriate analysis methodology.
- Getting business data to support the analysis, from various systems and sources (ETL).
- Cleanse and integrate data into a single repository.
- Analyse data to answer business questions.
- Make a business recommendation.
- Build a report/dashboard.
- Present/publish the report to stakeholders
SCOPE
The scope of the Data Science Diploma would cover core business analytics hands-on sessions around customer segmentation, sales analytics, and sales forecast. The session would use a practical business case study of a real company (AHG).
DURATION
The session is expected to be 2 months long, 2hrs per session, 16 sessions (Saturday and Sunday).
BUSINESS CASE
The case study is to investigate the customer demography of the company and investigate which of the company’s sales channels is generating the most revenue. Finally, carry out sales analysis, and forecasts, and make data-driven business recommendations.
BUSINESS ANALYSIS TOOLS
The practical hands-on session would utilize Microsoft Excel, Microsoft SQL Server, and Power BI
EXPECTED OUTCOME
Participants would get practical hands-on skills as obtainable in practice, participants would also be presented with another case study problem to solve.
OUTLINE
Introduction to Microsoft Excel
 Application of Microsoft Excel
 Introduction to Basic Functions
- Left, Right, And Mid Function
- Upper, Len, Lower and Proper Function
- Concatenation Application of Concatenation
OTHER FUNCTIONS
- MAX, MIN, TODAY
- AVERAGE, SUM, SUMIF, SUMIFS
- COUNT AND COUNTIFS
- IF, IFS, IF(OR) AND IF (AND)
- VLOOK UP AND HLOOKUP
- INDEX, MATCH
CONDITIONAL FORMATTING
- Highlight Cell Rules
- Data Bars
- Icon Set
- New Rules
WEEK 1 ASSESSMENT
Introduction to Data Analysis Using Excel
Analysis Tool Pack
Introduction to Descriptive Statistics
Data Presentation (1)
- Graphs
- Pie Charts
- Simple Charts & Combo Charts
POWER QUERY
- Connecting Excel to Web Pages to Auto Update Data Tables
- Connecting Excel Pivot to Web Pages to Auto Update Pivot Tables
- Connecting Excel to SQL Server
- Cleaning Data with Microsoft Excel Power Query
PIVOT TABLE
- Creating aPivot Table
- Understanding Rows, Columns and Values
- Calculated Fields in Pivot Table
- Connecting Multiple Pivot Tables
- Other Pivot Table Functionalities
DASHBOARD
- Understanding Dashboard Presentation Styles
- Creating Complex and Interactive Dash Board
- Understanding How to Use Slicers for Dashboard Insights
INTRODUCTION TO DATA ANALYSIS WITH POWER BI
INTRODUCTION TO POWER BI
-
- Why Power Bi?
INTRODUCTION TO POWER BI INTERPHASE AND WORKFLOW
- Home Tab
- Insert Tab
- Modelling Tab
- View Tab
CONNECTING AND CLEANING DATA
- ETL
- Basic Table Transformation
- Text Tools
- Number Tools
- Conditional Column
- Pivoting And Unpivoting
CREATING MODEL
- What is a Model?
- Understanding Data Table and Lookup Table
- Understanding Cardinality
CREATING MEASURES USING DAX
- Sum, SumX
- Average, Average X
- Max, Min
- Distinct Count, Count
- Time Intelligent Functions
- Filter
- Calculate
DATA VISUALIZATION AND REPORTS
- Understanding Different Visualization Tools
- Selecting The Appropriate Visualization Tool
- Dashboard Visualization
WRITING QUERIES WITH MICROSOFT SQL SERVER
INTRODUCTION TO DATABASE
- What is a Database?
- Database Management Systems
- Introduction to SQL
- Different SQL Servers
RELATIONAL DATABASE MANAGEMENT SYSTEM
- Understanding Relationship
- Primary Key
- Foreign Key
UNDERSTANDING AND MANIPULATING DATA TYPES
- Characters
- Numeric
- Dates
BASIC STATEMENTS
- SELECT
- WHERE
- (=EQUAL <> NOT EQUAL > GREATER THAN < LESS THAN >= GREATER THAN OR EQUAL <= LESS THAN OR EQUAL)
- (BETWEEN, LIKE, IN)
- AND, OR, NOT
- NULL VALUES
- ORDER BY (ASC & DESC)
UNDERSTANDING OTHER FILTERS
- Top
- Distinct
AGGREGATE FUNCTIONS
- SUM()
- AVG()
- MAX()
- MIN()
- GROUP BY
DATE MANIPULATIONS
- YEAR (), MONTH (), DAY (),
- DATEPART (), DATENAME (), DATEADD, DATEDIFF (),
- GETDATE ()
STRING MANIPULATION
- UPPER (), LOWER (), LEN ()
- LEFT (), RIGHT ()
- SUBSTRING (), CONCAT ()
HANDLING CASE EXPRESSION
- SINGLE CASE
- MULTIPLE CASE
JOINS
- INNER JOIN
- OUTER JOIN
- LEFT, RIGHT AND FULL
VIEWS
- CREAING VIEW
- MANIPULATING VIEWS
UNDERSTANDING DDL
- CREATE
- DROP
- ALTER
HOW TO IMPORT DATA INTO SQL
- EXCEL
- CSV
CONNECTING/ EXPORTING SQL FILE INTO EXTERNAL SOFTWARE
- EXCEL
- POWER BI