The Data Science & Data Analytics course by Navya Praveena Kotakonda is a comprehensive online program designed to equip learners with in-demand skills in data analysis, visualization, and data engineering. This course is ideal for students, graduates, and working professionals who want to build a strong foundation in Data Science and advance into analytics or data engineering roles.

The program combines theoretical understanding with hands-on practical training using industry-relevant tools such as Python, Tableau, Power BI, and Azure Data Engineering concepts. Learners will gain real-world skills required to analyze data, create dashboards, and extract meaningful business insights.

What You Will Learn

The course covers the following key areas:

Data Science Fundamentals

• Introduction to Data Science concepts
• Understanding data types and workflows
• Data cleaning and preprocessing
• Exploratory Data Analysis (EDA)

Python for Data Science

• Python basics for data analysis
• Libraries like NumPy and Pandas
• Data visualization using Matplotlib and Seaborn
• Working with datasets and real-time examples

Data Analytics

• Data interpretation techniques
• Business insights extraction
• Statistical concepts for analytics
• Reporting and decision-making support

Tableau

• Tableau interface and dashboard creation
• Data connections and visualization best practices
• Interactive reports and storytelling with data

Power BI

• Power BI dashboard development
• Data modeling
• DAX basics
• Publishing and sharing reports
• Power BI Dashboard creation for business use cases

Azure Data Engineering (Introduction Level)

• Basics of Azure data services
• Data pipelines overview
• Cloud-based data solutions
• Understanding modern data architecture

Teaching Method

This course is conducted through live interactive online sessions. The training approach focuses on clarity, practical exposure, and real-time implementation.

• Live demonstrations
• Hands-on assignments
• Real-world datasets
• Dashboard projects
• Case study discussions
• Doubt-clearing sessions
• Career guidance support

Learners will work on mini-projects and capstone-style assignments to build a strong portfolio.

Who This Course Is For

• Beginners interested in Data Science
• Students from IT, engineering, or commerce backgrounds
• Working professionals shifting to analytics roles
• Aspiring Data Analysts or Data Engineers
• Individuals wanting to learn Python, Tableau, and Power BI

Key Benefits

• Strong foundation in Data Science and Analytics
• Hands-on experience with Python, Tableau, and Power BI
• Exposure to Azure Data Engineering basics
• Practical dashboard-building skills
• Improved problem-solving and analytical thinking
• Portfolio-ready projects
• Better job opportunities in data-driven roles

By the end of the program, learners will be confident in handling datasets, creating professional dashboards, and applying analytical thinking to business problems.