Certificate in Data Analytics

11,988 Votes 1,184 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: 12 Months
Course Type: 100% Job Guarantee
Language: English/Hindi
No. of Modules: 9 Modules
Doubt Clearing Session: Yes
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6000+
Satisfied Students
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10
Years of Excellence
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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 08 Modules 08 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

No prior knowledge of accounting is needed to enroll in an Accounting Course. Anyone can join accounting classes after completing 12th.

Why Accounting Certification?

Explore a rewarding career by joining an accounting Class, under expert guidance and industry-recognized certification.

  • Stand Out: Beat the competitive job market with an advanced skill set in accounting.
  • Boost Your Salary: A better skill set keeps you one step ahead and allows you to earn more.
  • Master Your Craft: Gain expertise in specific accounting areas.
  • Advance Your Career: Allows you to grab the opportunity in leadership roles.
  • Future-Proof Your Skills: Stay updated with the latest trends in the industry.

Who Should Enroll in the Accounting Course?

The accounting course perfectly fits those, who are passionate about learning accounts and moving a career ahead in the accounting industry:

  • One who is interested in learning accounts or managing their business accounts.
  • People who have already completed B.COM, or M.COM or have basic accounting knowledge.
  • Open an opportunity for CAs, CSs, and Tax practitioners to join accounting classes for advanced learning.

What You Will Master in the Certificate Course On Accounting

  • Corporate Computer Applications (CCA): The accounting class begins with the basic concept of CCA and teaches you about hardware, software, number & conditional formatting, and Database design. This basic accounting process creates a strong base for the future.

Certification

After getting certified in an accounting course, several career opportunities await the aspiring candidates to join. To get the right skill set, invest in your future now. Join the Accounting Certification Program today!

  • 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