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Data Analytics Training

Become a Certified Data Analyst with Sankalpa Skills and master Excel, SQL, Power BI, Python, Data Visualization, and Business Analytics. Gain hands-on experience with real-world datasets and projects, and accelerate your career in the data analytics industry.

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Explore Our Industry-Aligned Curriculum

Introduction to Data Analytics

  • Introduction to Data Analytics
    Understand the fundamentals of data analytics, including types like descriptive, diagnostic, predictive, and prescriptive analytics. Learn how organizations use data to make informed decisions, improve efficiency, and drive business growth across various industries.

     

  • Role of a Data Analyst
    Explore the responsibilities of a data analyst, including data collection, cleaning, visualization, and reporting. Understand required skills, tools, and career opportunities in the data analytics field.

     

  • Data Types & Sources
    Learn about structured, semi-structured, and unstructured data. Understand various data sources such as databases, APIs, spreadsheets, and web data used in analytics projects.

     

  • Data Analytics Lifecycle
    Understand the complete lifecycle from data collection to insights and reporting. Learn how each stage contributes to solving business problems effectively.

Excel for Data Analysis

  • Excel Basics & Functions
    Learn essential Excel functions like SUM, IF, VLOOKUP, and INDEX-MATCH. Perform basic data analysis efficiently using spreadsheets.

     

  • Data Cleaning in Excel
    Handle missing values, duplicates, and inconsistencies. Prepare clean datasets for accurate analysis.

     

  • Advanced Excel Techniques
    Use pivot tables, conditional formatting, and data validation for deeper insights.

     

  • Dashboard Creation in Excel
    Create interactive dashboards using charts and slicers to visualize business data

SQL for Data Analytics

  • Introduction to SQL
    Understand database concepts and learn SQL basics for querying data from relational databases.

     

  • Data Retrieval & Filtering
    Use SELECT, WHERE, ORDER BY, and GROUP BY to retrieve and filter data.

     

  • Joins & Subqueries
    Combine data from multiple tables using joins and nested queries.

     

  • SQL Optimization
    Write efficient queries and improve performance for large datasets.

Python for Data Analytics

  • Python Basics
    Learn Python programming fundamentals including variables, loops, and functions for data analysis tasks.

     

  • NumPy & Pandas
    Use libraries like NumPy and Pandas for data manipulation and analysis.

     

  • Data Cleaning with Python
    Handle missing values and transform datasets using Python tools.

     

  • Exploratory Data Analysis (EDA)
    Analyze data to find patterns and insights using statistical methods

Data Visualization

  • Introduction to Visualization
    Understand the importance of visualizing data for better insights and communication.
  • Charts & Graphs
    Create bar charts, line graphs, pie charts, and histograms.
  • Tools (Power BI/Tableau)
    Use visualization tools to build interactive dashboards.
  • Storytelling with Data
    Present insights effectively using visual storytelling techniques.

Statistics for Analytics

  • Descriptive Statistics
    Learn measures like mean, median, and standard deviation to summarize data.

     

  • Probability Basics
    Understand probability concepts used in data analysis.

     

  • Hypothesis Testing
    Test assumptions and validate results using statistical methods.

     

  • Correlation & Regression
    Analyze relationships between variables for better insights

Business Analytics

  • Business Metrics & KPIs
    Understand key performance indicators used to measure business success.

     

  • Customer Analytics
    Analyze customer behavior and segmentation for better targeting.

     

  • Sales & Marketing Analytics
    Evaluate campaign performance and optimize strategies.

     

  • Financial Analytics
    Analyze financial data for budgeting and forecasting

Data Cleaning & Preparation

  • Data Preprocessing Techniques
    Prepare raw data for analysis by cleaning and transforming datasets.

     

  • Handling Missing Data
    Use techniques to manage incomplete or inconsistent data.

     

  • Data Transformation
    Normalize and scale data for better analysis.

     

  • Data Integration
    Combine data from multiple sources for unified analysis

Advanced Analytics Tools

  • Power BI Advanced Features
    Learn DAX, data modeling, and advanced dashboard creation.

     

  • Tableau Advanced Concepts
    Create interactive and dynamic visualizations.

     

  • Automation with Tools
    Automate reporting and analysis processes.

     

  • Real-Time Analytics
    Analyze live data for instant decision-making.

Projects & Career Preparation

  • End-to-End Analytics Project
    Work on real-world projects involving data collection, analysis, and visualization.

     

  • Dashboard Development
    Build professional dashboards for business use cases.

     

  • Portfolio Building
    Create a strong portfolio showcasing your projects and skills.

     

  • Interview Preparation
    Prepare for job interviews with common questions and practical scenarios

Get Industry-Ready with Comprehensive Career Support

Mock Interviews

Prepare for every interview stage by practicing with multiple rounds of realistic mock interviews

Portfolio Building

Create a standout portfolio, highlight your best work, and attract potential employers and clients with a presentation

Mentorship

Mentorship, skill-building strategies, and individual feedback designed to accelerate your professional growth

Resume Building

Craft impactful resumes, highlight key strengths, and receive expert feedback to confidently showcase your profile.

Soft Skills

Master effective body language, communication, and presentation techniques essential for becoming a professional

How our program works

Enhance Your Skills to Transform Your Career Path

Build a Job-worthy Project-Portfolio

Gain hands-on experience with cutting-edge cloud services that will equip you with the essential skills needed to thrive in a cloud computing career

Land Your Dream Job Our Alumni

Frequently Asked Questions (FAQ)

Anyone from students to working professionals can join. Beginner courses require no prior experience.

We offer both online live classes and offline classroom sessions.

Yes, our placement team assists with resume building, interviews, and connecting students to IT companies.

 

Yes, students receive study materials, assignments, and project-based exercises

Yes, we provide resume building, mock interviews, and soft skills training.

Yes, we offer weekend batches for students and professionals with tight schedules.

We offer a mix of live sessions and pre-recorded content for flexible learning.

Sankalpa is a leading software training institute that provides high-quality training in IT, development, cloud computing, cybersecurity, and more.

We provide flexible class timings including weekdays and weekends to suit working professionals and students.

 

Yes, we offer free demo sessions so you can experience the quality of our training before enrolling.

Most beginner-level courses have no prerequisites. Advanced programs may require basic IT or coding knowledge

We focus on practical learning, expert trainers, flexible schedules, placement support, and industry-ready curriculum.

What Our Learners Have To Say

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Our programs combine real-world projects, expert mentorship, and globally recognized certifications. empowering you to launch and grow your career in the cloud and beyond

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