Want to know more about the course? contact us

About Our Expert Instructors at Technomotiva

At Technomotiva, our strength lies in the expertise, passion, and real-world experience of our instructors. We take immense pride in bringing together a team of highly qualified professionals who are not just subject matter experts, but also dedicated mentors committed to nurturing the next generation of talent in the IT and corporate world.

Our instructors are industry veterans with extensive academic backgrounds and practical experience. Many hold advanced degrees in Computer Science, Engineering, Business, and specialized IT domains, along with globally recognized certifications such as:

  • Oracle Certified Professionals (OCP)
  • AWS & Azure Certified Cloud Experts
  • PMP Certified Project Managers
  • Certified Ethical Hackers (CEH)
  • Google & Meta Digital Marketing Experts
  • ISTQB Certified Testers
  • SAP, Data Science, and AI Professionals

Hands-on Industry Experience

Each instructor at Technomotiva brings 5 to 20+ years of experience in working with top-tier MNCs, startups, and government projects across diverse industries including IT Services, Telecom, Banking, Healthcare, Manufacturing, and eCommerce. Their real-world exposure helps students understand practical challenges, business requirements, and current industry trends.

Mentorship & Career Guidance

Our instructors go beyond Online teaching. They act as career mentors—helping learners with project guidance, resume preparation, interview readiness, and professional networking. They offer personalized attention and one-on-one mentoring to ensure every learner builds the confidence and skills needed to succeed.

Updated with Latest Trends

Staying ahead in the ever-evolving tech world is crucial. Our instructors continuously upgrade their knowledge through certifications, research, and attending industry events. They integrate the latest tools, frameworks, and methodologies into the curriculum—making learning relevant, future-ready, and competitive.

Global Exposure

With training and consulting experience across India, the US, UK, Middle East, and Southeast Asia, our instructors bring a global perspective. This helps students understand cross-cultural business practices, global IT standards, and international job market expectations.

At Technomotiva, we don’t just teach—we inspire, mentor, and empower. Our instructors are the pillars of our training excellence, driving transformation for both individuals and corporate teams. Whether you're a student, working professional, or enterprise, learning from our experts means stepping into a future full of potential and opportunities.

Data Analytics Training Detailed Curriculum

Course Overview

The Data Analytics Training at Technomotiva is a comprehensive, hands-on program designed to equip learners with data analysis, visualization, and reporting skills using industry-leading tools and techniques. The course covers data processing, statistical analysis, SQL, Excel, Power BI, Python for analytics, and real-world projects to prepare you for a career as a Data Analyst in any industry.

Detailed Curriculum

  • What is Data Analytics?
  • Difference between Data Analytics, Data Science, and Business Intelligence
  • Data analytics lifecycle
  • Types of data analytics: Descriptive, Diagnostic, Predictive, Prescriptive
  • Applications of data analytics in various industries

  • Data types, structures, and formats (CSV, JSON, Excel, Databases)
  • Structured vs Unstructured data
  • Data sources: Databases, APIs, files, and web scraping basics
  • Basics of Data Governance and Data Ethics

  • Data cleaning and formatting techniques
  • Formulas and functions for analytics (VLOOKUP, HLOOKUP, IF, INDEX-MATCH)
  • Pivot Tables and Pivot Charts
  • Conditional formatting
  • Data validation and filtering
  • Creating interactive dashboards in Excel

  • Introduction to relational databases
  • Writing SQL queries for data extraction
  • Filtering, sorting, and aggregating data
  • Joins (INNER, LEFT, RIGHT, FULL)
  • Subqueries and CTEs
  • SQL functions for analytics
  • Creating views and stored procedures
  • Connecting SQL with visualization tools

  • Python basics for data analysis (syntax, variables, loops, functions)
  • Using Pandas for data manipulation
  • NumPy for numerical analysis
  • Data visualization with Matplotlib and Seaborn
  • Data cleaning and preprocessing
  • Reading and writing data from different formats
  • Introduction to Jupyter Notebook

  • Introduction to data visualization concepts
  • Principles of good dashboard design
  • Power BI:
    • Connecting to multiple data sources
    • Data modeling and relationships
    • Creating interactive dashboards
    • DAX basics for calculations
    • Publishing and sharing reports
  • Tableau (optional module based on batch requirement)

  • Descriptive statistics: Mean, Median, Mode, Standard Deviation, Variance
  • Data distribution and probability basics
  • Hypothesis testing
  • Correlation and regression analysis
  • Trend and pattern identification

  • Time series analysis basics
  • Forecasting models
  • Introduction to predictive analytics with Python
  • Introduction to Machine Learning concepts for analysts

  • Handling missing values
  • Removing duplicates
  • Standardizing formats
  • Outlier detection and treatment
  • Data transformation techniques

  • Turning data into actionable insights
  • Structuring analytical reports
  • Data storytelling techniques
  • Presenting data to non-technical audiences

  • Real-world data analytics project:
    • Data collection from multiple sources
    • Data cleaning and transformation
    • Analysis using SQL/Python/Excel
    • Visualization in Power BI
    • Final report and presentation

  • Standard Track: 1 Month (Weekday/Weekend batches)

  • Work with real-world datasets and perform end-to-end analysis
  • Build interactive dashboards using Power BI and Excel
  • Query databases efficiently with SQL
  • Perform statistical analysis and interpret results
  • Present insights effectively to stakeholders
  • Be job-ready for Data Analyst and Business Intelligence roles

Data Analyst Course Details - FAQ

The Data Analytics course at Technomotiva is a hands-on, industry-focused program designed to train you in collecting, cleaning, analyzing, and visualizing data to generate actionable business insights. You’ll learn tools like Excel, SQL, Python, Power BI, and essential statistical concepts, with real-world projects to prepare you for high-demand Data Analyst and Business Intelligence roles.

This course is ideal for:

  • Fresh graduates looking to start a career in analytics
  • Professionals in IT, finance, marketing, or operations wanting to upskill
  • Business analysts seeking to enhance their data-driven decision-making abilities
  • Anyone interested in turning raw data into valuable insights

By the end of the course, you will be able to:

  • Collect and clean data from multiple sources
  • Write SQL queries to extract and analyze data
  • Use Excel for advanced data manipulation and dashboards
  • Perform statistical analysis and interpret data patterns
  • Visualize data using Power BI and Python libraries
  • Apply data storytelling techniques for impactful presentations

The course includes:

  • Introduction to Data Analytics & Lifecycle
  • Data types, structures, and governance basics
  • Excel for Analytics: Formulas, Pivot Tables, Dashboards
  • SQL: Querying, Joins, Aggregations, Functions
  • Python for Analytics: Pandas, NumPy, Matplotlib, Seaborn
  • Power BI: Data modeling, DAX, interactive dashboards
  • Statistics for Analytics: Mean, Median, Hypothesis Testing, Correlation, Regression
  • Data cleaning and preprocessing best practices
  • Data storytelling and reporting skills
  • Capstone project on real-world datasets

  • Standard Track: 8–10 Weeks (Weekday or Weekend batches)
  • Modes: Online

  • Microsoft Excel (Advanced)
  • SQL (Structured Query Language)
  • Python for Data Analytics (Pandas, NumPy, Matplotlib, Seaborn)
  • Power BI (Business Intelligence & Visualization)
  • Basics of Tableau (Optional Module)

At Technomotiva, we follow a practical, project-based learning approach:

  • 70% hands-on exercises
  • 20% case studies from real business scenarios
  • 10% theory for foundational concepts
  • Regular assignments and quizzes
  • Final capstone project with presentation

Yes. You will complete multiple mini-projects throughout the course and one capstone project where you’ll work with real datasets to perform end-to-end analysis and present insights just like in a professional job role.

After completing the course, you can apply for roles such as:

  • Data Analyst
  • Business Intelligence Analyst
  • Reporting Analyst
  • MIS Executive
  • Data Visualization Specialist

  • Basic computer skills
  • Interest in data and problem-solving
  • No prior coding experience required (Python & SQL are taught from scratch)

Yes. Upon successful completion, you will receive a Technomotiva Data Analytics Certification, recognized by our corporate clients and hiring partners.

  • Industry-expert trainers with hands-on experience
  • Job-oriented curriculum aligned with current market needs
  • Access to live projects and datasets
  • Flexible learning options (Online/Offline/Hybrid)
  • Placement assistance and interview preparation
whatsapp icon