Certification on Data Analytics

Program Overview

Duration: 6 to 8 Months – including instructor-led sessions, hands-on projects, practice assignments, capstone project, and placement preparation. Flexible pacing available for working professionals and freshers.
Session: Live instructor-led classes (3–4 per week), weekend doubt-clearing sessions, self-paced video modules, hands-on labs, real-world project reviews, and monthly mock interviews. Flexible schedules for both students and working professionals.
Mode: Online/Offline (Flexible)
Who is this course for:
fresh graduates and early-stage professionals (0–2 years experience) who want to break into the world of data
Prerequisites:
Bachelor's degree (any stream), basic math and statistics, computer literacy, analytical thinking. Programming knowledge (Python/SQL) and familiarity with Excel/DBMS are advantageous but not mandatory.

Course Details

Are you curious about how companies use data to make smart decisions? Want to start a career in one of the fastest-growing fields—even if you don't have a coding background? The Advance Diploma in Data Analytics is built just for you. In just 6–8 months, you’ll go from a beginner to someone who can confidently analyze data, build dashboards, and work with real-world tools like Python, Excel, SQL, Power BI, Tableau, and R. You'll start by learning how to write your first lines of code, understand data patterns, and use statistics to make sense of information. Then you'll dive into creating powerful visual reports, querying databases, and solving real business problems through hands-on projects. This course doesn’t just teach theory—you’ll work on actual datasets and build a portfolio that shows employers what you can do. Plus, you’ll get personal support every step of the way—from 1:1 mentorship to interview prep and job placement assistance. Whether you’re a student, a recent graduate, or someone looking for a career switch, this program gives you the skills and confidence to become a data analyst, BI developer, or junior data scientist.

Curriculum

52 teaching points included in this program.

Module 18 items

Variables and Data Types
Operators
Conditional Statements
Loops
Data Structures: List, Tuple, Set, Dictionary
Functions and Arguments
File Handling (CSV, TXT)
JSON Data Handling

Module 28 items

Assignments on Data Types and Control Structures
Central Tendency
Distributions (Normal, Gaussian)
Hypothesis Testing (Z, T, ANOVA, Chi-Square)
Confidence Intervals
Skewness and Kurtosis
Visualization with Mean, Median, SD
Assignments on Statistical Tests and Graphs

Module 38 items

Interface and Shortcuts
Logical Functions
Date and Text Functions
Data Cleaning and Filtering
Charts and Visualizations
Pivot Tables and Charts
VBA and Macros
Power Query and Power Pivot

Module 48 items

Basics of Data Visualization
Dashboard Design
Basic to Advanced Charts
Time Series Forecasting
Maps and Geo Coding
Calculated Fields and Parameters
Data Joins and Blending
Final Dashboard Project

Module 58 items

Power BI Interface and Installation
Data Loading and Cleaning
Data Modeling and Relationships
Visualizations (Standard and AI)
DAX Functions and Time Intelligence
Power BI Service (Online Publishing)
Dashboard Project
DBMS and RDBMS Basics

Module 68 items

SQL Commands (DDL, DML, DQL, DCL, TCL)
Joins (Inner, Outer, Cross, Self)
Subqueries and Window Functions
Aggregate and Row-Level Functions
Constraints and Triggers
Views, Stored Procedures
R Basics and Data Types
Operators and Control Structures

Module 74 items

Functions and Packages (dplyr, ggplot2)
Data Cleaning and Merging
Visualization (Scatter, Histogram, Boxplot)
Iris Dataset Analysis

Career Assistance

Secure placements in premier companies by mastering the latest in-demand skills, augmented by comprehensive mock interviews, strategic portfolio development, and polished resume crafting.

85%

Placed within 6 months
of Course

350+

Hiring Partners