Example Curriculum

  Link, Passcode & Updates Section
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  Induction Session - 15 September
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  Python, Applications of Python, Variable, Data Types - Operators , Control statement (if & else)
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  Completed all control flow statements, Range Function, Started with string and it's methods
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  Completed String theory as well methods, Done with List Data Structure, Done with Tuple's theory and methods, Hands on practice for these three data structures on jupyter notebook
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  Completed Set theory as well methods, Done with Dictionary Structure, Hands on practice for all data structures, Started with Built-In-Functions
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  Started with Lambda Functions - User defined Functions - Global and Local Variable with global and local functions - Hands on practice for each topics on Jupyter notebook - Function Arguments
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  Modules in Python - Math and Random Modules - Exception Handling - Hands on practice for each of them - Files in Python - File Operations - Data Science Introduction
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  Business Intelligence Theory - Data Mining Theory - Analytics Theory - Excel Functions - Basic formula - Date Formula - Logic Formula - All if and ifs functions
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  Lookup functions: Vlookup, Hlookup, Xlookup - Excel Shortcuts - Pivot table - How to create Pivot? - Creating reports using pivot tables.
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  Data Analysis using Pivot Table - Pivot Charts - Report Building and filters in Pivot - Advance Excel - Data Analysis (Correlation, Regression, Co-variance, Moving Average, Descriptive stats) - Goal Seek
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  Scenario Manager - Power Query Introduction - Loading, Transformations - Data Visualization - Reporting - Story Telling - Dashboard
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  New section
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  INTRODUCTION TO POWER BI - CREATING POWER BI REPORTS, AUTO FILTERS - REPORT VISUALIZATIONS AND PROPERTIES
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  Numpy Theory - Numpy Functions - Flatten, Ravel, etc. - Have practiced all Numpy functions in Jupyter Notebook - Assignment can be found in same Notebook file
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  Pandas Theory - Series and it's functions - Series manipulation - Data Frame - Data Frame manipulation and different functions - Practiced Jupyter notebook code for it
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  Accessing rows and columns in dataframe - Updating values in dataframe - Sorting DataFrames - Groupby in Pandas - Deleting value in dataframe - Read and write a file using pandas - Started with concept of Joins in Pandas
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  Joins and its code in python - Data Preprocessing - Data Wrangling - No Assignment today just practice whatever code we have done
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