Data Analytics Training with AI

Build Job-Ready Data Analytics & AI Skills with Practical Training

Data Analytics and AI help businesses turn raw data into meaningful insights, automate processes and support smarter decision-making. Our Data Analytics + AI Training in Hyderabad is designed to help learners develop practical skills in data analysis, visualization, business intelligence and AI-powered analytics through structured, career-focused learning.

The training covers essential tools and technologies including Advanced Excel, SQL, Python for Data Analytics, Statistics, Power BI, Data Visualization, Generative AI and AI-assisted data analysis. Through hands-on exercises, real-world datasets and practical projects, learners can learn how to collect, clean, analyze and visualize data, apply AI tools and generate actionable insights, developing the skills needed for careers in Data Analyst, Business Analyst and AI-powered Data Analytics roles.

Data Analytics Training with AI Syllabus

Classroom Training

Online Training

No Pre Request (Any Vertical)

Industrial Expert

These practical areas help you build a strong foundation in Data Analytics:

  • Data Analytics Fundamentals & Statistics – Understand data analytics concepts, statistical fundamentals, data types and analytical techniques used to transform raw data into meaningful business insights.
  • Advanced Excel & Data Analysis – Learn Excel formulas, functions, PivotTables, data cleaning and analysis techniques to organize, interpret and analyze business data efficiently.
  • SQL & Database Analytics – Learn SQL queries, filtering, joins, aggregations and database concepts to extract, manage and analyze data from relational databases.
  • Python for Data Analytics – Explore Python programming and commonly used data analytics libraries to clean, process, analyze and work with real-world datasets effectively.
  • Power BI & Data Visualization – Learn Power BI, interactive dashboards, data visualization and reporting techniques to present analytical insights clearly and support data-driven business decisions.
Overview of Data Analytics

Topics:

  • Introduction to Data Analytics
  • Data Analytics Lifecycle
  • Types of Data & Analytics
  • Data Collection & Preparation
  • Business Intelligence Fundamentals

Skills You Will Learn:

  • Understanding data analytics fundamentals
  • Understanding different types of data and analytics
  • Working with basic data analysis processes
  • Understanding business intelligence concepts
  • Building a strong foundation in data analytics

Topics:

  • Advanced Excel Functions & Formulas
  • Data Cleaning & Formatting
  • PivotTables & PivotCharts
  • Lookup & Logical Functions
  • Excel Data Analysis Techniques

Skills You Will Learn:

  • Cleaning and organizing business data
  • Using advanced Excel formulas for analysis
  • Creating PivotTables and interactive reports
  • Analyzing large datasets efficiently
  • Preparing professional Excel-based analytics reports

Topics:

  • Statistics Fundamentals
  • Mean, Median & Mode
  • Probability & Distributions
  • Correlation & Regression
  • Statistical Data Interpretation

Skills You Will Learn:

  • Understanding statistical concepts for data analysis
  • Calculating and interpreting statistical measures
  • Understanding relationships between data variables
  • Applying basic statistical techniques to datasets
  • Making data-driven conclusions using statistics

Topics:

  • Introduction to SQL & Databases
  • SELECT, WHERE & ORDER BY Queries
  • Joins & Subqueries
  • Aggregate Functions & Grouping
  • Data Extraction & Analysis

Skills You Will Learn:

  • Writing SQL queries for data analysis
  • Extracting relevant data from databases
  • Working with joins, filters and aggregations
  • Analyzing relational database information
  • Using SQL for real-world business data analysis

Topics:

  • Python Programming Fundamentals
  • NumPy for Data Analysis
  • Pandas for Data Manipulation
  • Data Cleaning & Transformation
  • Working with Real-World Datasets

Skills You Will Learn:

  • Using Python for practical data analysis
  • Loading and processing datasets with Pandas
  • Performing data cleaning and transformation
  • Analyzing structured and unstructured data
  • Developing practical Python-based analytics solutions

Topics:

  • Data Quality & Data Preparation
  • Handling Missing Values
  • Removing Duplicate Data
  • Data Transformation
  • Data Validation & Standardization

Skills You Will Learn:

  • Identifying data quality issues
  • Cleaning incomplete and inconsistent datasets
  • Transforming raw data for analysis
  • Preparing reliable datasets for reporting
  • Improving data accuracy and consistency

Topics:

  • Introduction to Power BI
  • Data Import & Transformation
  • Power Query Fundamentals
  • Data Modeling & Relationships
  • DAX Fundamentals

Skills You Will Learn:

  • Connecting Power BI with different data sources
  • Transforming and preparing data using Power Query
  • Creating effective data models
  • Writing basic DAX calculations
  • Building interactive business intelligence reports

Topics:

  • Data Visualization Fundamentals
  • Charts, Graphs & Visual Elements
  • Interactive Power BI Dashboards
  • Filters, Slicers & Drill-Downs
  • Dashboard Design Best Practices

Skills You Will Learn:

  • Choosing suitable visualizations for different datasets
  • Creating interactive data dashboards
  • Using filters, slicers and drill-down features
  • Presenting complex data in an easy-to-understand format
  • Designing professional analytics dashboards

Topics:

  • Exploratory Data Analysis
  • Business Metrics & KPIs
  • Trend & Pattern Analysis
  • Comparative Data Analysis
  • Data-Driven Decision Making

Skills You Will Learn:

  • Exploring datasets to identify meaningful patterns
  • Analyzing business KPIs and performance metrics
  • Identifying trends and relationships in data
  • Converting analytical findings into business insights
  • Supporting data-driven business decisions

Topics:

  • Real-World Data Analytics Projects
  • Business Dataset Analysis
  • Excel, SQL & Python Projects
  • Power BI Dashboard Projects
  • Data Analyst Interview Preparation

Skills You Will Learn:

  • Applying data analytics skills to real-world datasets
  • Performing end-to-end data analysis
  • Building practical SQL and Python analytics projects
  • Creating portfolio-ready Power BI dashboards
  • Developing job-ready Data Analyst skills

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DATA ANALYTICS TRAINING

Build a Strong Foundation in Data Analytics

Develop practical data analytics skills through structured learning, hands-on exercises, real-world datasets and project-based training designed to build job-ready analytical skills.

Data Analytics Fundamentals

Understand data analytics concepts, data types, analytical processes, statistics and business intelligence fundamentals used to transform raw data into meaningful insights.

Advanced Excel & Data Analysis

Learn advanced Excel formulas, PivotTables, data cleaning, lookup functions and reporting techniques to analyze and organize business data efficiently.

SQL & Database Analytics

Learn SQL queries, joins, filtering, aggregation and database concepts to extract, manage and analyze data from relational databases for business reporting.

Python for Data Analytics

Explore Python programming, Pandas and NumPy to clean, transform, analyze and work with real-world datasets for practical data analytics applications.

Power BI & Data Visualization

Learn Power BI, data visualization, dashboards, Power Query and basic DAX concepts to present business insights through interactive and easy-to-understand reports.

Learn Data Analytics. Turn Data Into Insights. Build Your Career.

Gain practical Data Analytics skills with Ishan Info Solutions through hands-on learning, real-world datasets, interactive dashboards and project-based analytics training.

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