Course to Maximize your Analytics skills and stay ahead in the most popular DATA ANALYTICS World!

Target Audience: BI Analysts, Data Analysts, Business Analysts & Any IT Professionals.

MODULE-1: INTRODUCTION TO DATA ANALYTICS AND GETTING STARTED

• Data Analytics Introduction
  • The Scope and Importance of Analytics.
  • Why Python for Analytics.

• Python Overview
  • Proprietary Software vs Open Source
  • Compiled vs Interpreted Languages
  • Introduction and History of Python
  • Various Python Distribution Vendors & Text Editors

• Setting up Programming Environment
  • Installing Python (Anaconda 3) for Windows and OS X (Mac) Operating Systems
  • Introduction to Jupyter Notebook
  • Writing, Saving and Opening Programs
  • Running Simple Python Program

MODULE-2: VARIABLE AND SIMPLE DATA TYPES

• Operators and Order of Operations
• Naming and Using Variables
• Data Types (Strings, Numbers)
• Working, Concatenation and Conversion of Strings
• Expression
• Using Comments
• Using the Input() function
• Exercise

 

MODULE-3: INTRODUCTION TO DATA STRUCTURES

• Introducing Lists, Tuple and Dictionaries
• Sets, Booleans and Comparison Operators
• File I/O
• Adding / Modifying / Removing List Elements
• Organizing a List
• Exercise

 

MODULE-4: LIBRARIES AND DATA STRUCTURES

• Working with Lists
• Working with Tuple
• Working with Dictionaries
• Python Libraries
• Exercise

 

MODULE-5: CONDITIONAL STATEMENTS AND LOOPS

• IF, IF-ELSE, IF-ELIF-ELSE Statements
• Multiple Conditions and Multiple IF Statements
• WHILE and FOR Loops
• Nesting Loops
• Break Command and Avoiding Infinite Loops
• Understanding Iterators
• Applying Iterators on Data Structures
• Exercise

 

MODULE-6: METHODS AND FUNCTIONS

• Methods and Functions Overview
• Defining and Calling Functions
• Returning a Value & Modules
• Exercise

 

MODULE-7: FUNCTIONS

• Working with Functions
• Lambda Expressions, Map and Filter Functions
• Nested Statements and Variable Scope
• Exercise

 

MODULE-8: OBJECT ORIENTED PROGRAMMING

• Object Oriented Programming
• Defining Classes and Objects
• Defining Methods
• Inheritance and Polymorphism
• Exercise

 

MODULE-9: CONNECTING TO DATABASE & WORKING WITH FILES

• Connecting to a Database from Python
• Retrieving and processing Database data
• Creating a File
• Opening a File
• Writing to a File
• Exercise

 

MODULE-10: ERRORS AND EXCEPTIONS HANDLING

• Handle Possible Errors
• Exception Handling (Try-except, Try-except-finally etc.)
• Exercise

 

MODULE-11: DATA VISUALIZATION

• Introduction to matplotlib
• Installation of matplotlib
• Plotting Line Graphs, Histograms, Bar Charts, Scatter plots and more
• Exercise

 

MODULE-12: DATA ANALYSIS

• Data Analysis Introduction
• Data Analysis using Pandas
• Pandas Series
• Pandas Data Frames
• Manipulating Data in Data Frames
• Exercise 

 

MODULE-13: DATASET EXPLORATION

• Analyze data sets from various repositories e.g. Kaggle, Kiva data
• Leverage APIs to retrieve information from web sites
• Exercise 

 

MODULE-14: SAMPLE PROJECT & PREPARING FOR THE NEXT OPPORTUNITY

• ​Demo of a real-life sample project and presentation techniques
• Designing Best Practices
• Preparing for the Interviews
• Q & A

 

 

***As per the tutor's discretion, some of the provided course content may be altered/omitted to suit the class needs***

 

**Products and Logos Mentioned are Trademarks of the Respective Companies**

 

*Provided Individual Course Fee is not applicable for Corporate Customers & Students*