Mentor Led

Data Analytics (Mentor Led)

By CapaGenius Categories: Mentor Led

About Course

Our comprehensive Data Analytics Program is designed to equip you with the essential skills and knowledge required to excel in the field of data analytics. Over the course of 8 weeks, you will delve deep into various aspects of data analysis, from programming foundations and data manipulation to advanced data visualization techniques using tools like Tableau and Power BI.

In the first part of the program, you will build a strong foundation in programming with Python and learn how to manipulate and analyze data using the Pandas library. You’ll also gain proficiency in SQL for data querying and manipulation, enabling you to extract valuable insights from relational databases.

The second part of the program focuses on data visualization, where you’ll learn to effectively communicate insights through visually compelling dashboards and reports. You’ll master the art of visual storytelling using industry-leading tools like Tableau and Power BI, enabling you to create interactive and impactful visualizations.

Our hands-on approach to learning ensures that you get ample opportunities to apply your skills to real-world projects and case studies. By the end of the program, you’ll have completed a capstone project where you’ll demonstrate your mastery of data analytics concepts by creating a comprehensive dashboard using Power BI.

Why Enroll in Our Program?

Practical Learning: Gain hands-on experience through interactive exercises, case studies, and projects.
Industry-Relevant Curriculum: Learn essential skills and tools used by data analysts in today’s job market.
Expert Faculty: Benefit from the guidance of experienced instructors who are experts in the field of data analytics.
Career Opportunities: Unlock new career opportunities in data analytics, a rapidly growing field with high demand for skilled professionals.
Certification: Receive a certificate of completion, showcasing your expertise in data analytics and enhancing your credibility in the job market.

Don’t miss this opportunity to kickstart your career in data analytics. Join our Data Analytics Program today and take the first step towards becoming a proficient data analyst!

About Course

Course Content

Part I – Programming Foundations & Data Manipulation

Introduction & Programming Fundamentals

Overview of Data Analytics and its applications in various fields

Introduction to Python Programming: syntax, variables, data types, operators

Control flow statements (if-else, loops) and functions for program logic

Hands-on exercises: Solving basic coding problems using Python

Data Manipulation with Pandas

Introduction to Pandas library: a powerful tool for data analysis in Python

Loading data from various sources (CSV, Excel) and data cleaning techniques

Exploring and analyzing data using Pandas: descriptive statistics, data visualization

Hands-on exercises: Working with real-world datasets using Pandas

Wrangling Data with SQL

Introduction to Structured Query Language (SQL) for database management

Writing basic SQL queries: SELECT, FROM, WHERE, GROUP BY, ORDER BY

Joining tables, using subqueries, and filtering data effectively

Hands-on exercises: Practicing SQL queries using sample databases

Advanced Data Manipulation

Combining Python and SQL: Utilizing Pandas to work with data retrieved from databases

Data preprocessing techniques: handling missing values, encoding categorical data

Merging and transforming datasets from different sources

Hands-on project: Integrating Python and SQL for data preparation

Part II – Data Visualization with Tableau & Power BI

Introduction to Data Visualization

Importance of data visualization in data analysis and communication

Choosing the right chart type for different data and insights

Introduction to data visualization principles: design, clarity, and storytelling

Mastering Tableau

Introduction to Tableau interface and connecting to data sources

Creating basic visualizations: bar charts, line charts, scatter plots

Working with filters, parameters, and calculated fields in Tableau

Building interactive dashboards and stories to communicate findings

Hands-on exercises: Creating visualizations and dashboards with Tableau

Power BI for Data Analysis

Introduction to Power BI and its functionalities

Connecting to various data sources and data modeling techniques

Creating basic visualizations and reports using Power BI

Exploring DAX (Data Analysis Expressions) for advanced calculations

Hands-on exercises: Building reports and visualizations with Power BI

Putting It All Together

Case studies and projects integrating all learned skills

Utilizing Python for data manipulation, SQL for data retrieval, and Tableau/Power BI for visualization

Presenting data analysis findings through interactive dashboards and reports

Discussing best practices and ethical considerations in data analytics

Project

Create a dashboard using power BI for suicide case