Certificate in Data Analytics

7,900 Votes 9,530 Students

Gain practical skills in data analysis, visualization, and interpretation with our Certificate in Data Analytics. Empower your career with data-driven decision-making through hands-on training in Excel, SQL, and Python.

Eligibility: 12+/Graduate
Delivery Mode: Classroom/Offline
Difficulty Level: No Prior Knowledge Required
Duration: 8 Months
Course Type: 100% Job Guarantee
Language: English/Hindi
No. of Modules: 7 Modules
Doubt Clearing Session: Yes
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9000+
Satisfied Students
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10
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Practical Training
Course Section

Course Details

  • SUMMARY

The Certificate in Data Analytics program is designed to equip students with essential skills in data collection, processing, analysis, and visualization. Through practical training in tools like Excel, SQL, Python, and Power BI, learners develop the ability to derive meaningful insights from data. Ideal for beginners and professionals alike, this course opens doors to data-driven roles across industries.

Course Name Modules Duration
Certificate in Data Analytics 7 Modules 8 Months *

Course Objective

    The objective of the Certificate in Data Analytics course is to equip learners with a strong foundation in data analysis concepts and practical skills. The course aims to develop proficiency in industry-relevant tools such as Excel, SQL, Python, and Power BI, enabling students to collect, clean, analyze, and visualize data effectively. Through hands-on projects and real-world scenarios, learners will gain the ability to interpret data insights and support data-driven decision-making. This program is designed to prepare individuals for entry-level roles in data analytics and business intelligence across various industries.

Prerequisites

Basic education (12th pass or graduate) is typically required. Background in math, statistics, or computer science is helpful but not mandatory for beginner-level courses. Interest in solving problems and drawing conclusions from data.

Why Data Analytics?

Joining a Data Analytics course can be a smart and rewarding decision for several reasons:

  • High Demand in the Job Market: Data analytics is one of the most in-demand skills across industries like IT, finance, healthcare, marketing, and e-commerce.
  • Career Growth & Salary Potential: Opens doors to diverse job roles like Data Analyst, Business Intelligence Analyst, Data Engineer, etc. Skilled data analysts often receive competitive salaries and quick career progression.
  • Applicable to Every Industry: Whether it’s retail, healthcare, education, or logistics—data is everywhere.
  • Data-Driven Decision Making: Learn how to use data to make smarter business decisions, improve performance, and optimize strategies.
  • Future-Proof Your Career: Builds a strong foundation for future learning in AI, machine learning, or big data. As businesses go digital, data analytics will be essential for years to come.

Who Should Enroll in Data Analytics Course?

A Data Analytics course is ideal for a wide range of learners. You should consider enrolling if you are:

  • Students and Fresh Graduates
  • Working Professionals
  • Entrepreneurs and Business Owners
  • Managers and Team Leaders
  • Anyone Interested in Data

Certification

After completing a Data Analytics course, students typically receive a course completion certificate from the institute, which validates their learning. Additionally, they can pursue globally recognized certifications such as the Google Data Analytics Certificate, Microsoft Certified Data Analyst (Power BI), IBM Data Analyst Professional Certificate, Tableau Desktop Specialist, or SQL and SAS certifications. These credentials enhance their resume, demonstrate industry-relevant skills, and significantly improve job prospects in data-driven roles.

Course
  • Excel Basic to Advance
  • Power B.I & DataVisualization
  • Python Programmingfor Data Analytics
  • G- Suite
  • Google Data Studio
  • VBA
  • SQL Server
Syllabus Overview
01

Excel Basic to Advance

  • 📚 Introduction to Basic Excel
  • 📚 Filling Series, Flash Fill
  • 📚 Number Formatting
  • 📚 Conditional Formatting
  • 📚 Name Range
  • 📚 VLOOKUP, HLOOKUP
  • 📚 Advance Flash Fill
  • 📚 Advance Number Formatting
  • 📚 Advance Conditional Formatting
  • 📚 Data Validation - Advanced Application
  • 📚 Quick Analysis, Lookup Functions
  • 📚 Match & Index
  • 📚 Dynamic V Lookup
  • 📚 SUMPRODUCT Function
  • 📚 DATA Table, Solver
  • 📚 Depreciation Functions
  • 📚 Creating Dashboard
  • 📚 Power Map
  • 📚 Power Query
  • 📚 Complex Formulas
02

Power B.I & DataVisualization

  • 📚 Introduction to Power BI
  • 📚 Data Loading and Transformation (Power Query)
  • 📚 Data Modeling
  • 📚 DAX (Data Analysis Expressions)
  • 📚 Data Visualization
  • 📚 Power BI Service (Cloud)
  • 📚 Advanced Topics
  • 📚 Real-World Projects & Case Studies
  • 📚 Certification & Interview Preparation
03

Python Programmingfor Data Analytics

  • 📚 Introduction to Python for Data Analytics
  • 📚 Python Basics for Data Analysis
  • 📚 Data Manipulation with Pandas
  • 📚 Data Visualization
  • 📚 Stats for Data Analytics
  • 📚 Statistical Analysis and Hypothesis Testing
  • 📚 Time Series Analysis
  • 📚 Machine Learning Basics
  • 📚 Data Pipelines and Automation
  • 📚 Case Studies and Real-world Applications
04

G- Suite

  • 📚 Gmail
  • 📚 Google Drive
  • 📚 Google Docs
  • 📚 Google Sheets
  • 📚 Google Slides
  • 📚 Google Meet
  • 📚 Google Calendar
  • 📚 Google Chat
  • 📚 Google Forms
  • 📚 Google Sites
05

Google Data Studio

  • 📚 Google Data Studio
  • 📚 Creating Charts & Graphs
  • 📚 Filters & Controls
  • 📚 Custom Fields
  • 📚 Chart Styling
  • 📚 User Management: sharing your Reports
06

VBA

  • 📚 Introduction to VBA
  • 📚 VBA Editor (VBE)
  • 📚 Variables & Data Type
  • 📚 Operators in VBA
  • 📚 Control Structures Procedures
  • 📚 Functions
  • 📚 Message Boxes and Input Boxes
  • 📚 Working with Ranges and Cells (Excel)
  • 📚 User-Define Functions (UDFs)
  • 📚 Events & Handling
  • 📚 Error Handling
  • 📚 Loops in VBA
  • 📚 Arrays and Collections
  • 📚 UserForms & Controls
07

SQL Server

  • 📚 Introduction to SQL Server
  • 📚 SQL Server Basics
  • 📚 Advanced SQL Queries
  • 📚 Data Integrity and Transactions
  • 📚 Indexing and Performance Tuning
  • 📚 Security and Permissions
  • 📚 Case Studies and Practical Applications
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