Assured Certification
Rating (12677)
5/5

Introduction to Data Science

Pack of 4 Courses | 🌟Massive Discount 🌟

English

About the Program

Whether you are a beginner in Data Science and want to explore more about it or you want to transition into this multifaceted field, this programme will help you understand Data Science more by exploring the basic Data Science concepts. 

Data Science is the field that helps in extracting meaningful insights from data using programming skills, domain knowledge, and mathematical and statistical knowledge. It helps to analyze the raw data and find hidden patterns.

Therefore, a person should be clear with statistics concepts, machine learning, and a programming language such as Python or R to be successful in this field

Almost every business, from retail to finance and banking, requires the assistance of data science specialists to collect and analyze insights from their datasets. You may utilize data science skills to further your data-centric career in two ways. You can either become a data science professional by pursuing professions such as data analyst, database developer, or data scientist, or transfer into an analytics-enabled role such as a functional business analyst or a data-driven manager

10 hrs 13 mins

04 Modules

27 Handouts

12 Month Access

12677 Subscribers

Assured Certification

Program Structure​

  • What is Business Analytics?
  • Stages and Life Cycle of the Business Analytics
  • Stage 1: Data Management 
  • Stage 2: Reporting
  • Stage 3: Analysis and Insights
  • Stage 4: Predictive Analysis
  • Stage 5: Prescriptive Analysis
  • Different Segments of Analytics
  • Industry-Based Practice Tools
  • What is Data?
  • Difference Between Structured and Unstructured Data
  • How to find the relevant Data- The Refugee Camp Case Part 1
  • How to find the relevant Data- The Refugee Camp Case Part 2
  • 5V of Big Data
  • Analytics Offerings for Various Industry Needs
  • Value Chain BFSI
  • Value Chain Travel
  • Telecom Value Chain
  • CPG & Retail Value Chain
  • Media Value Chain
  • Energy, Resources and Utilities Value Chain
  • Healthcare and Life science Value Chain
  • Manufacturing Value Chain
  • Analytics Offering for Industry Needs | Summary
  • Part 1: What Is Python
  • Part 2: Features of Python
  • Part 3: Fields Where Python Is Used
  • Part 1: Intro to Google Colab
  • Part 2: Writing Your First Program
  • Part 1: Arithmetic Operator 
  • Part 2: Assignment Operator
  • Part 3: Conditional Operator
  • Part 4: Logical Operator
  • (1) Assignment & Solution 
  • Part 1: Syntax Error
  • Part 2: Logical Error
  • Part 1: What Are Keywords?
  • Part 2: What Are Identifiers?
  • Part 3: Rules for Writing Identifiers
  • Part 1: What Are Data Types? – 
  • Part 2: Type Casting and Its Types   
  • (2) Assignment & Solution 
  • Part 1: String Functions 
  • Part 1: What Are Lists? 
  • Part 2: What Are Tuples?
  • Part 3: What Are Dictionaries? 
  • Part 1: What Is if-else?
  • Part 2: What Is Elif?
  • (3) Assignment & Solution 
  • Part 1: For Loop 
  • Part 2: While Loop 
  • Part 1: Break Statement 
  • Part 2: Continue Statement 
  • Part 1: What Are Functions and It’s Types 
  • Part 2: Built-in Functions
  • Part 3: User-defined Functions 
  • Part 4: Docstrings  
  • (4) Assignment & Solution 
  • Part 1: What Are Try and Except Functions 
  • Part 1: What Are Global Variables 
  • Part 2: What Are Local Variables 
  • Part 1: What Are Lambda Functions 
  • Part 1: What Is Recursion
  • Part 2: Example for Recursion 
  • Part 1: if __name__ == “__main__” Explanation 
  • (5) Assignment & Solution 
  • Part 1: Secure Your Password Using Python 
  • Summary
  • Introduction to the Course 
  • Concept: Introduction to MS Excel      
  • Mindset: Why To Learn MS Excel For Data Science & AI     
  • Tour To MS Excel     
  • Basics Of MS Excel      
  • Intermediate Level Of MS Excel   
  • Advanced Level Of MS Excel   
  • Practice & Exercise and Important Resources    
  • Data Visualization In MS Excel: Types of Charts  
  • Data Visualizations In MS EXCEL-Part 1    
  • Data Visualization In MS EXCEL-Part 2    
  • EDA Hands On Tutorial In MS Excel-Part 1 
  • EDA Hands On Tutorial In MS Excel-Part 2    
  • Linear Regression: Fundamentals     
  • Limitations Of Machine Learnings With MS Excel  
  • Power BI Overview    
  • Business Scenario  
  • Walkthrough: Home ribbon    
  • Walkthrough: Report, Data and Model Section
  • Integration from multiple data sources    
  • Data preparation
  • Split columns | Fill down | Column from examples  
  • Remove rows | Transpose       
  • Append Queries | Add Conditional Column  
  • Optimizing the Data Model 
  • Setting up relationships 
  • Cross Filter Direction
  • Top N Analysis   
  • Competitor Analysis – Creation of Groups | Treemap visual   
  • YoY Analysis with drilldown capabilities   
  • Slicer | Creation of hierarchies
  • Measures vs Calculated Columns  
  • This year vs last year analysis   
  • % Growth Calculation 
  • Conditional formatting   
  • Using .JSON themes     
  • Trend Analysis and using images  
  • Creation of bookmarks to present your story     
  • Adding buttons for navigation          
  • Adding toggle buttons using Selection Pane and Bookmark Pane
  • Adding Background | Azure Maps | Text boxes | Logo  
  • Decomposition tree  
  • Smart narrative        
  • Key Influencers
  • Quick Insights               
  • Custom report tooltip    
  • Drillthrough  
  • Introduction to Power BI Service  
  • Performance analyzer    
  • Export the report to Excel  

Earn a Certificate

After finishing the course, you will get a Certificate of Completion.

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