Course curriculum

  • 1

    WEEK ONE

    • introduction & definition of concept

    • Excel function

    • Excel sum,sumif,sumifs function

    • Excel count,countif, countifs functions

    • Excel date function

    • Excel vlookup function

    • Practical Exercise on logical function

  • 2

    WEEK TWO

    • Excel data cleaning using power query

    • Excel data modelling

    • Excel pivot table chart

    • Excel sorting, filtering,data validation

    • Pivot table and chart

    • Practical exercise on excel sorting,filtering and data validation

  • 3

    WEEK THREE

    • Introduction to PowerBI

    • Introduction to PowerBI Chart 2

    • Introduction to PowerBI Chart 3

    • Introduction to PowerBI Chart

    • Logical Functions

    • Power Query

    • Text Function

  • 4

    WEEK FOUR

    • And Function

    • Data Cleaning 2

    • Data Cleaning 3

    • Data Cleaning 4

    • Data Cleaning 5

    • Data Cleaning 6

    • Data Cleaning

    • Date Function

    • Merging Files

    • OR Function

    • Using measure

  • 5

    WEEK FIVE

    • Creation of Database and table

    • Introduction to SQL

    • Select Statement and SQL operators

    • SQL operators 2

    • SQL textual, date and aggregate functions

    • The ALTER TABLE statement

  • 6

    WEEK SIX

    • Case Expression

    • Groupby 1

    • Groupby 2

    • Groupby 3

    • SQL Constraint

    • SQL Joins 2

    • SQL Joins

  • 7

    WEEK SEVEN

    • V1 (a)

    • V1 (b)

    • V2

    • V3

    • V4

    • V5

    • V6

    • V7

    • V8

  • 8

    WEEK EIGHT

    • import excel file contd.

    • import excel file.

    • intro to pandas.

    • method contd.

    • method in pandas.

    • reading _ summaring contd.

    • reading and summaring data.

  • 9

    WEEK NINE

    • Data Cleaning 1

    • Data Cleaning 1 Contd

    • Data Cleaning 2

    • Data Cleaning 2 cont-d

  • 10

    WEEK TEN

    • Data visualization 1 - matplotlib

    • Data visualization 2 - matplotlib

    • fileDMachine LearningData visualization 3

  • 11

    WEEK ELEVEN

    • Machine learning introduction.

    • Build your first Machine learning model..

    • Changing Scientific notation values.

  • 12

    WEEK TWELVE

    • Linear Regression - Premium prediction.

    • Finding correlation.

    • splitting a dataset for ML model.

    • Evaluating a Regression model and Building a Class