Professional Training Program

Data Analytics & Business Intelligence

Master the tools and technologies to turn raw data into actionable insights.

Skills-First Approach: Your degree and marks don't define your potential
Learn from Industry Experts: Microsoft Certified Data Analysts & Working Professionals
Hands-on Experience: Work on Real-world Projects
Added Value: Complimentary Course Included
Career Growth: Guaranteed 10+ Professional Skills for Your Resume
Clear Path Forward: Comprehensive Career Roadmap for Freshers
Hands-on Training
Industry Certification
Expert Instructors
Job Placement Assistance

Program Overview

A comprehensive professional training on Data Analytics, Business Intelligence Tools, SQL, and Python— essential skills for the modern data professional.

Our industry-aligned curriculum ensures you're ready for real-world challenges.

Data Analytics

What is Data Analytics?

The process of analyzing raw data to find trends, answer questions, and derive actionable insights for business decision-making.

  • You collect data (from websites, sales, surveys, etc.)
  • You clean it (remove mistakes or missing values)
  • You analyze it using tools (Excel, SQL, Power BI, Python, etc.)
  • You visualize it (with charts, graphs, dashboards)
  • You get insights (like what's working, what's not, what to improve)

Learn the fundamentals of data analytics, including data collection, cleaning, transformation, and visualization. Master statistical analysis techniques to extract meaningful insights from complex datasets.

Topics Covered

  • Introduction to Data Analytics
  • Data Collection and Cleaning
  • Exploratory Data Analysis
  • Statistical Analysis Techniques
  • Data Visualization Principles
  • Dashboard Creation
  • Report Generation and Storytelling

Skills You'll Gain

  • Data preprocessing and cleaning
  • Statistical analysis and interpretation
  • Critical thinking and problem-solving
  • Creating effective data visualizations
  • Data-driven decision making

Core Tools: Power BI, SQL, Tableau, Python

Power BI

1. Introduction

  • Power BI Components & Interface
  • Front-end & Back-end Overview
  • Data Connectivity Modes
  • Importing Data into Power BI

2. Power Query Editor (ETL)

  • Query Editing Tools (Home & View Tabs)
  • Transform Tab Functions
  • Add Column Tab Functions

3. Data Modeling

  • Relating Tables from Multiple Sources
  • Relationship Types & Cross-Filter Directions

4. DAX & Visualization

  • DAX Calculations & Functions
  • Advanced Chart Visualizations
  • AI Visuals (KPIs, Q&A, etc.)

SQL

1. Introduction to SQL

  • Introduction to Databases
  • Installing a Database Engine
  • Data Types & Operators

2. SQL Statements

  • DDL, DML, DQL, TCL Commands

3. Functions

  • Case & Character Functions
  • Date, Null, Number & General Functions
  • Aggregate & Analytical Functions

4. Joins & Constraints

  • Joins: Inner, Left, Right, Full, Self, Cross
  • Constraints: Primary Key, Foreign Key, etc.

5. Advanced SQL

  • Set Operators: Union, Intersect, Minus
  • Views & Materialized Views
  • Subqueries & Pseudo Columns

Tableau

1. Introduction

  • Tableau Desktop & Products
  • Data Types in Tableau
  • Connection Types

2. Interface Study

  • Dimensions & Measures
  • File Extensions
  • Sets, Parameters, Groups, Bins, Hierarchies
  • Sorting, Maps & Chart Types

3. Calculations

  • LOD (Level of Detail) Calculations
  • Quick Table Calculations

4. Functions

  • Windows, Analytics & Date Functions
  • String, Numeric & Logical Functions
  • Table Calculation Functions

5. Data Modelling & Actions

  • Relationships, Joins, Unions & Blending
  • Dashboard Actions & Interactivity
  • Publishing to Tableau Server/Online

6. Dashboard Creation

  • Create Dashboards from Scratch
  • Real-world Scenario Implementation

Python

1. Introduction & Setup

  • Literate Programming Concepts
  • Anaconda Installation & Jupyter Notebook
  • Basic Syntax & Structure

2. Data Types & Structures

  • Strings, Lists, Tuples, Dictionaries, Sets

3. Control Flow & Functions

  • Conditional Statements (if, else, elif)
  • Loops (for, while)
  • Defining & Using Functions

4. Modules & Packages

  • Creating & Importing Modules
  • Package Management
  • Built-in Common Modules

5. File & Data Handling

  • File I/O (Read/Write/Append)
  • Processing File Data
  • Regular Expressions

6. Data Analysis & Visualization

  • NumPy for Numerical Operations
  • Pandas for DataFrames
  • Matplotlib & Seaborn for Charts

What Our Students Say

"The training program at Sysmatic Solution completely transformed my career. The hands-on approach and industry-relevant curriculum helped me secure a job as a data analyst."

Praveen Kumar

Data Analyst at TCS

"Exceptional training with real-world projects. The instructors are industry professionals who provide practical insights beyond textbook knowledge."

Priyadharshini

BI Developer at Infosys

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