Project Based Master Workshop for Data Analytics Course Overview

Project Based Master Workshop for Data Analytics Course Overview

Our Project Based Master Workshop for Data Analytics is an immersive 48-hour course designed to take your data analytics skills to the next level through 15 real-time projects. Covering essential tools such as Power Excel, Python, Power Query, and SQL, this course ensures you gain hands-on experience in data cleaning, data transformation, data visualization, and report creation. You’ll work on exciting projects like creating an interactive sales dashboard and performing in-depth sports data analysis. By the end of the workshop, you’ll be proficient in data modeling, employing DAX for insights, and utilizing advanced Python data structures. This course caters to individuals aiming to transform their data analytics capabilities into tangible workplace skills.

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  • Live Training (Duration : 48 Hours)
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  • Live Training (Duration : 48 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

You can request classroom training in any city on any date by Requesting More Information

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Koenig's Unique Offerings

Course Prerequisites

Certainly! Here are the minimum required prerequisites for successfully undertaking the Project Based Master Workshop for Data Analytics course at Koenig Solutions:


  • Basic understanding of Microsoft Excel, including the use of basic formulas and functions.
  • Familiarity with basic programming concepts (any language), although specific experience with Python would be advantageous.
  • General understanding of relational databases and basic SQL queries.
  • Basic mathematical skills, particularly in statistics and probability.
  • A genuine interest in data analytics and a willingness to learn complex concepts.
  • No prior experience in Power Query, Power BI, or advanced Python is required.

These prerequisites are designed to ensure that you have the foundational knowledge necessary to succeed in this comprehensive, project-based course. We look forward to helping you advance your career in data analytics!


Target Audience for Project Based Master Workshop for Data Analytics

1. Introduction: The Project Based Master Workshop for Data Analytics offers comprehensive training with 15 real-time projects in Power Excel, Python, Power Query, and SQL, perfect for aspiring data professionals.


2. Job Roles and Target Audience:


  • Data Analysts
  • Data Scientists
  • Business Intelligence Analysts
  • Financial Analysts
  • Marketing Analysts
  • HR Analysts
  • Sales Analysts
  • IT Professionals
  • Data Engineers
  • Project Managers
  • Business Consultants
  • Statisticians
  • Market Researchers
  • Academic Researchers
  • Data Enthusiasts
  • Graduate Students in Data Science or Computer Science
  • Professionals looking to transition into data analytics


Learning Objectives - What you will Learn in this Project Based Master Workshop for Data Analytics?

Introduction:

The Project Based Master Workshop for Data Analytics is a comprehensive 48-hour course designed to provide hands-on experience through 15 real-time data projects. It covers key areas in Power Excel, Python Data Analysis, Power Query, and SQL.

Learning Objectives and Outcomes:

  • Power Excel:

    • Master data cleaning, transformation, and analysis.
    • Connect and manage different data sources.
    • Append and merge datasets effectively.
    • Develop dynamic and interactive dashboards.
  • Python Data Analysis:

    • Understand fundamental Python programming concepts.
    • Work with Python data structures, dates, and strings.
    • Perform data extraction and cleaning using Pandas.
    • Visualize and analyze data using Matplotlib and Seaborn.
  • Power Query & Analysis:

    • Conduct comprehensive data cleaning and transformations.
    • Work with multiple queries and data models.
    • Create and format detailed reports using DAX for insights.
    • Design and implement dashboards with Power BI Service.
  • SQL:

    • Understand RDBMS concepts and master SQL commands (DDL, DCL, and DML).
    • Write efficient queries using filters, sorting, and grouping.
    • Execute complex joins and subqueries.
    • Build robust data

Target Audience for Project Based Master Workshop for Data Analytics

1. Introduction: The Project Based Master Workshop for Data Analytics offers comprehensive training with 15 real-time projects in Power Excel, Python, Power Query, and SQL, perfect for aspiring data professionals.


2. Job Roles and Target Audience:


  • Data Analysts
  • Data Scientists
  • Business Intelligence Analysts
  • Financial Analysts
  • Marketing Analysts
  • HR Analysts
  • Sales Analysts
  • IT Professionals
  • Data Engineers
  • Project Managers
  • Business Consultants
  • Statisticians
  • Market Researchers
  • Academic Researchers
  • Data Enthusiasts
  • Graduate Students in Data Science or Computer Science
  • Professionals looking to transition into data analytics


Learning Objectives - What you will Learn in this Project Based Master Workshop for Data Analytics?

Introduction:

The Project Based Master Workshop for Data Analytics is a comprehensive 48-hour course designed to provide hands-on experience through 15 real-time data projects. It covers key areas in Power Excel, Python Data Analysis, Power Query, and SQL.

Learning Objectives and Outcomes:

  • Power Excel:

    • Master data cleaning, transformation, and analysis.
    • Connect and manage different data sources.
    • Append and merge datasets effectively.
    • Develop dynamic and interactive dashboards.
  • Python Data Analysis:

    • Understand fundamental Python programming concepts.
    • Work with Python data structures, dates, and strings.
    • Perform data extraction and cleaning using Pandas.
    • Visualize and analyze data using Matplotlib and Seaborn.
  • Power Query & Analysis:

    • Conduct comprehensive data cleaning and transformations.
    • Work with multiple queries and data models.
    • Create and format detailed reports using DAX for insights.
    • Design and implement dashboards with Power BI Service.
  • SQL:

    • Understand RDBMS concepts and master SQL commands (DDL, DCL, and DML).
    • Write efficient queries using filters, sorting, and grouping.
    • Execute complex joins and subqueries.
    • Build robust data