Data Analyst Online Training Syllabus

Master Excel, Tableau, Python, Statistics, and Data Visualization. Learn to analyze data and create impactful business insights.

✔ ISO 9001:2015 Certified Training Program
Created by Experienced Data Analytics Professionals
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₹35,000 ₹40,000
2 days left at this price!
  • 15 structured modules
  • Hands-on projects and case studies
  • Certificate of completion
  • Lifetime access
  • Industry use cases

Data Analyst Online Training

Master the complete Data Analytics workflow with hands-on training in Excel, Statistics, SQL, Python, Tableau, Data Visualization, and Business Intelligence. This industry-focused program is designed to help learners transform raw data into actionable insights and build job-ready analytical skills. The course covers everything from data cleaning and preparation to visualization, dashboard creation, statistical analysis, and predictive analytics using industry-standard tools. Through practical exercises, real-world case studies, and capstone projects, learners gain the confidence to solve business problems using data. Whether you are a beginner looking to enter the analytics field or a professional seeking to upgrade your skills, this program provides a structured path toward becoming a Data Analyst.

Data analyst Tools

Pre Requisite

No prior programming experience is required. Basic knowledge of:

  • Computer fundamentals
  • Microsoft Excel
  • Logical and analytical thinking
  • Internet-enabled system

Description

The Data Analyst Online Training program provides comprehensive training in data collection, cleaning, transformation, visualization, and analysis.

Students will learn:

  • Advanced Excel for business reporting and analysis
  • Statistical concepts for data-driven decision making
  • Tableau for interactive dashboards and reporting
  • Python programming for data analytics
  • NumPy and Pandas for data manipulation
  • Data visualization using Matplotlib and Seaborn
  • SQL integration with Python
  • Data cleaning and preprocessing techniques
  • Predictive and descriptive analytics concepts
  • Real-world analytics projects and case studies

By the end of the program, learners will be able to analyze datasets, create professional dashboards, generate business insights, and build a strong portfolio for Data Analyst roles.

Data Analyst Online Training Syllabus

Module 1: Tableau
  • Tableau Fundamentals
  • Data Connections
  • Data Blending & Joins
  • Charts & Visualizations
  • Maps & Geographic Analysis
  • Calculated Fields & Filters
  • Dashboards & Stories
  • Publishing & Scheduling
Module 2: Statistics for Data Analytics
  • Statistical Foundations
  • Probability & Distributions
  • Sampling Techniques
  • Hypothesis Testing
  • ANOVA & Chi-Square
  • Correlation & Regression
  • Data Cleaning & Imputation
Module 3: Statistics & Probability
  • Descriptive & inferential statistics
  • Hypothesis testing, confidence intervals
  • Bayes theorem, distributions
Module 4: Python Programming Fundamentals
  • Python Basics
  • Data Types & Operators
  • Loops & Decision Making
  • Functions
  • OOP Concepts
  • Modules & Packages
  • Advanced Python
  • SQL Integration & Exception Handling
Module 5: Data Analysis with Python
  • Anaconda & Jupyter Notebook
  • NumPy
  • Pandas
  • Data Manipulation
  • Data Cleaning
  • Data Import & Export
Module 6: Data Visualization
  • Matplotlib
  • Seaborn
  • Pandas Visualization
  • Geographical Plotting
Module 7: Capstone Projects
  • Calls Data Analytics Project
  • Finance Analytics Project

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Pavithradevi Karthick

Pavithradevi Karthick

Senior Technical Trainer & Data Analyst

Pavithradevi Karthick is an experienced Data Analyst and Technical Trainer with over 7 years of professional experience in data analytics, software development, and technical education. She has worked across multiple industries, helping organizations transform data into actionable insights while mentoring aspiring professionals in analytics and technology.

Throughout her career, she has delivered training programs in Python, SQL, Statistics, Data Analytics, Microsoft Excel, and Tableau, combining industry knowledge with practical, hands-on learning methodologies. Her experience as both a practitioner and trainer enables students to understand not only the concepts but also their real-world applications.

As a Senior Technical Trainer, she has conducted live online sessions, designed learning programs, reviewed student projects, and guided learners through industry-relevant case studies and capstone projects. Her teaching approach focuses on simplifying complex analytical concepts and helping students build job-ready skills.

Areas of Expertise

  • Data Analytics
  • Python Programming
  • SQL & Database Management
  • Microsoft Excel
  • Tableau
  • Statistical Analysis
  • Data Visualization
  • Business Intelligence
  • Machine Learning Fundamentals

Professional Experience

  • Senior Technical Trainer
  • Data Analyst
  • Technical Trainer
  • Senior Technical Instructor
  • Junior Software Engineer

Education

Bachelor of Engineering, Computational Science
Theni Kammavar Sangam College of Technology

“Learning analytics is most effective when theory is combined with practical application. My goal is to help learners build confidence through hands-on projects, real-world datasets, and industry-focused problem-solving.”

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