This Data Analytics course provides a comprehensive introduction to the field, focusing on practical skills and real-world applications. Students will explore various aspects of data analytics, from understanding its significance to mastering essential tools like Python, SQL, Excel, Power BI, and Tableau. This course is tailored for beginners and anyone interested in building a career in data analytics.

Enrolling in this course is beneficial for students who wish to gain a solid foundation in data analytics and prepare for a career in this rapidly growing field. Whether you are a student, a working professional looking to upskill, or someone seeking a career change, this course will equip you with the knowledge and skills necessary to succeed.

What Students Will Learn

Introduction to Data Analytics

• Understanding data analytics and its importance

• Types of data and analytics processes

• Overview of tools used in data analytics

Python for Data Analysis

• Python basics for data analysis

• Data manipulation using Pandas and NumPy

• Data cleaning and preprocessing

• Exploratory Data Analysis (EDA)

SQL for Data Management

• SQL fundamentals

• Data querying using SELECT, JOIN, GROUP BY

• Working with databases

• Data extraction for analysis

Excel for Data Analysis

• Data cleaning and formatting

• Pivot tables and charts

• Advanced Excel functions

• Data visualization in Excel

Power BI for Data Visualization

• Introduction to Power BI

• Data import and transformation

• Creating interactive dashboards

• DAX basics and report publishing

Tableau for Business Intelligence

• Connecting datasets

• Building charts and dashboards

• Data storytelling with Tableau

Real-world Projects

• Sales data analysis project

• Business dashboard creation

• End-to-end data analytics project

Career Preparation

• Data analytics interview questions

• Resume building

• Portfolio and GitHub project guidance

Teaching Method & Learning Approach

This course will be delivered in a online mode, The teaching style focuses on a mix of concept-based learning and practical exercises, ensuring that students can apply their knowledge effectively. Interactive sessions will encourage students to engage with the material, ask questions, and collaborate with peers.

Why Learn From This Tutor

Gouri S K is committed to providing clear and structured guidance throughout the course. With a focus on student support, Gouri ensures that learners receive the help they need to understand complex concepts. The approach is centered around making data analytics accessible and enjoyable for all students.

Location Context

This course is offered in Davanagere, making it convenient for local students. The offline sessions provide an opportunity for hands-on learning, fostering collaboration and community among learners.

Benefits & Learning Outcomes

By the end of this course, students will have a clear understanding of data analytics concepts and tools. They will build confidence in their analytical skills, improve their ability to handle data, and enhance their readiness for exams or job opportunities in the field. This course aims to empower students to succeed in their data analytics journey.