Fundamentals of Data Analytics

Data is the key to smarter decision-making. The Fundamentals of Data Analytics course introduces you to core analytical techniques, tools, and methodologies used across industries today. Whether you’re looking to begin a career in data analytics, business intelligence, or decision science, this course will help you build a strong foundation in data handling, visualization, and interpretation.

Through Tudip Learning’s expert-led, hands-on approach, you’ll move beyond theory and gain practical experience in cleaning, analyzing, and drawing insights from real-world data.

Why Choose Tudip Learning?

• Industry-Relevant Curriculum – Learn skills demanded in today’s data-driven world
• Hands-On Training – Work on real datasets and apply analytics techniques
• Expert-Led Sessions – Learn from data professionals with industry experience
• Small Batches & Personalized Support – Get your questions answered in real-time
• Recognized Certification – Strengthen your resume with an industry-validated certificate

What You’ll Learn

By the end of this course, you will:

• Understand Core Data Analytics Concepts – Learn the fundamentals of data analysis and interpretation
• Collect, Clean & Preprocess Data – Master data preparation techniques for accurate analysis
• Perform Exploratory Data Analysis (EDA) – Use statistical methods to identify trends and patterns
• Create Effective Data Visualizations – Learn how to use tools like Excel, Power BI, or Python libraries to present insights
• Apply Data-Driven Decision Making – Use statistical models and machine learning basics to drive business insights

Prerequisites

• Basic understanding of statistics & probability is recommended
• Familiarity with Excel & programming concepts (Python or SQL) is helpful but not required

Certification & Course Details

Upon completion, participants will receive a Fundamentals of Data Analytics Certification, validating their understanding of core data analytics concepts, data visualization techniques, and the ability to analyze and interpret data for informed decision-making.