Data Science

Beginner to Mastery

Data Analytics Course

Combines data analytics with essential tools and techniques.

Provides hands-on experience through real-world projects.

Taught by industry professionals with deep expertise in analytics.

Covers key tools like Python, SQL, Tableau, and Excel.

Group Enrollment with Friends or Colleagues

Data Analytics Course

Course Duration

300 Hours

Next Batch

16 Sept 2025

Course Material

Live. Online. Interactive.

Opens doors to diverse roles in data analysis, business intelligence, and analytics.

Offers skills that are applicable across various industries and roles.

Keeps you updated with the latest technologies and industry trends.

Opens doors to diverse roles in data and analytics.

Highlight Data Analytics Course

KEY HIGHLIGHTS OF DATA ANALYTICS COURSE PROGRAM

  • Weekly sessions with industry professionals
  • Dedicated Learning Management Team
  • 300 hours of hands-on learning experience
  • 90+ Live Sessions Across 4 months
  • 90 Hours of Self-Paced Learning
  • Learn from Industry Experts.
  • More than 25+ industry-related projects and case studies
  • One-on-One with Industry Mentors
  • 24*7 Support
  • Dedicated Learning Management Team
  • 1:1 Mock Interview
  • No-Cost EMI Option
  • Designed for both working professionals and fresh graduates
  • High Demand and Career Opportunities
  • Competitive Edge and Innovation
  • Problem-Solving and Critical Thinking

WHY JOIN DATA ANALYTICS COURSE PROGRAM?

Comprehensive Coverage

Master a wide range of essential tools and techniques, from data analytics to advanced data visualization and statistical analysis.

Industry-Relevant Skills

Acquire highly in-demand skills that boost your employability in today’s competitive job market.

Career Growth

Unlock advanced career opportunities and elevate your earning potential in data analytics, business intelligence, and related fields.

Hands-On Learning

Implement your knowledge through practical projects and real-world case studies focused on data analytics.

UPCOMING BATCH:

16 Sept 2025

SkillzRevo

SkillzRevo Solutions

30 MINUTE MEETING

Web conferencing details provided upon confirmation.

Corporate Training, Enterprise training for teams

Batch schedule

BatchBatch Type
Online Live Instructor Led SessionFull-Time
Online Live Instructor Led SessionPart-Time

Regional Timings

BatchBatch Type
IST (India Standard Time)09:00 PM–12:00 AM
Bahrain, Qatar, Kuwait, Saudi Arabia06:30 PM–09:30 PM
UAE / Oman07:30 PM–09:00 PM

Data Analytics Course OVERVIEW

This program helps participants become proficient in data analysis. It includes Advanced Excel, Python, Statistics, SQL, and data visualization using Tableau. By mastering these skills, participants will gain a strong foundation in data management, analytics, and visualization techniques, empowering them to turn raw data into actionable insights.

ENROLL NOW & BOOK YOUR SEAT AT FLAT 50% WAIVER ON FEE

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Data Analytics Course Objectives

The program is aimed at offering essential knowledge in key areas related to data analysis, Python programming, and statistical techniques useful for data-driven decision-making. It emphasizes SQL for database management and Tableau for data visualization. The course is designed to make participants well-versed in data analytics, equipping them with the skills needed to analyze data and generate actionable insights.

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Why Learn Data Analytics Course ?

Master’s in Python & Data Analysis

Gain proficiency in R, statistical analysis, and data visualization to effectively explore and understand data.

Advanced Excel & SQL Skills

Develop strong capabilities in data manipulation, database management, and querying using Excel and SQL.

Data Visualization with Tableau

Learn to create compelling visual reports and dashboards to communicate insights effectively.

Industry-Relevant Tools

Get trained in widely used tools and technologies that align with current market needs.

Career Growth Opportunities

Equip yourself with skills that open pathways to roles such as Data Analyst, Business Analyst, and BI Specialist.

Enhance Communication

Effectively convey complex information and findings using data visualization techniques.

Drive Data-Driven Decision Making

Leverage analytical skills to contribute to the development of data-driven solutions and insights.

Hands-On Projects

Apply your skills in real-world projects to gain practical experience and build a robust portfolio.

Program Advantages

Master essential tools like Advanced Excel, Statistics, Python, SQL & Tableau .

Learn up-to-date practices that match current market demands in data analysis.

Apply knowledge through real-world projects and hands-on exercises for practical experience.

Equip yourself with versatile skills applicable across various industries and sectors.

Develop data visualization expertise to effectively communicate insights and drive decision-making.

Stay ahead with in-demand tools that shape the future of data analytics.

Description

Data Analytics Course program Certifications

NASSCOM

NASSCOM

Course Completion

Course Completion

Project Completion

Project Completion

Data Analytics Course Curriculum

Lecture 01: Orientation (Introduction to Data Science, Scope of Data Science)
Lecture 02: Microsoft Excel Overview, Basic Navigation and Usage, Cell Referencing, Formatting Excel, Advanced Formatting, Shortcuts and Basic Formulas
Lecture 03: Sorting, Filtering, Advanced Filtering, Charts, Types of Charts, Advanced Charting Techniques, and Pivot Tables (Creating, Grouping and Summarizing Data)
Lecture 04: Lookup Functions, VLOOKUP, Using VLOOKUP with Multiple Criteria, HLOOKUP, Combining HLOOKUP with Other Functions, MATCH Function, Using MATCH for Dynamic Referencing
Lecture 05: Introduction to VBA & Macros, Understanding VBA Basics, Debugging and Error Handling, Advanced VBA Techniques, Integrating VBA with Excel Functions, Designing Effective Dashboards, Building a Dashboard
Lecture 06: Introduction to dplyr, Selecting, filtering, and arranging data, Grouping data, Summarizing data with summarize and mutate
Lecture 07: Advanced Data Analysis Techniques, DAX, Scenario and Sensitivity Analysis, Dashboards and Reports, Case Studies and Real-World Applications, Practical Examples of Data Analysis in Excel
Lecture 08: Introduction to Python, Why Python, Variables, Data Types, Type Casting, Strings, Indexing
Lecture 09: Operators and Conditional Statements, Looping Statements and its Control Statement
Lecture 10: Lambda Functions, *args, **kwargs, Functions
Lecture 11: Data Structures - List, Tuple, and List Comprehensions
Lecture 12: Data Structures - Set and Dictionaries
Lecture 13: Classes, Objects and Constructors, Inheritance
Lecture 14: Polymorphism, Abstraction and Encapsulation
Lecture 15: Connecting to Databases, Establishing Connections to Databases, Executing SQL Queries, ORM (Object-Relational Mapping), Working with NoSQL Databases
Lecture 16: Introduction to Numpy and Pandas
Lecture 17: Introduction to Seaborn and Matplotlib
Lecture 18: Introduction to Statistics, Descriptive Statistics, Sample, Population, Major of Central Tendency, Standard Deviation,
Lecture 19: Variance, Range, IQR, Outliers, Correlation, Covariance Skewness, Kurtosis, Probability
Lecture 20: Probability, Probability distributions, Central Limit Theorem, Binomial and Poisson Distribution
Lecture 21: Normal Distribution, Type I & Type II Error
Lecture 22: T-test, Z-test, Hypothesis Testing
Interview Questions
Lecture 23: Basics of Database, Types of Database, Data Types, SQL Operators, Expressions, Create, Insert
Lecture 24: Drop, Truncate, Delete, Alter, Update, Select, Range, Operator, IN, Wildcard, Like, Clause
Lecture 25: Constraint, Aggregation Function, Group By, Order By, Having
Lecture 26: Classification Report, AUC ROC, Accuracy, Ensemble Techniques, Random Forest, Xgboost
Lecture 27: Joins, Case, Complex Queries, Doubt Clearing
Lecture 28: Tableau Desktop, Tableau Products
Lecture 29: Data Import, Measures, Filters
Lecture 30: Data Transformation, Marks, Dual Axis
Lecture 31: Manage Worksheets, Data Visualization, Dashboarding
Lecture 32: Project Session

Data Analytics Course Skills Covered

Data Analysis
Data Manipulation
Statistical Analysis
Data Visualization
SQL Expertise
Dashboard creation
Feature Engineering
Data Storytelling
Data Analysis
Data Visualization

Data Analytics Course Tools Covered

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Data Analytics Course Program Benefits

Data Analytics Course Program Benefits Illustration

CAREER OPPORTUNITIES AFTER THIS COURSE

Business Intelligence Analyst Salary Range

Min

$60,000

Average

$120,000

Max

$150,000

Projects

MASTER GANS, TRANSFORMERS & DEEP LEARNING WITH REAL PROJECTS

Practice Essential Tools

Designed By Industry Experts

Get Real-world Experience

Python
NO. OF PROJECTS: 10
SQL
NO. OF PROJECTS: 10
Tableau
NO. OF PROJECTS: 8

Capstone Projects of this Program

Multimodal Text-to-Image Generator

A system that creates high-quality, realistic images from descriptive text inputs, blending multiple data types for creative visual output.

AI Music Composer with Genre Adaptation

An AI tool that generates original musical compositions while adapting to specific genre styles, tempo, and mood preferences.

Realistic Deepfake Video Synthesizer

A tool that realistically manipulates and synthesizes video content to create authentic-looking deepfake footage for various applications.

Personality-Driven Conversational AI Assistant

A chatbot designed to interact with a distinct and consistent personality, providing a more natural and engaging user experience.

Artistic Style Transfer Engine for Videos

A program that applies the artistic style of a source image to every frame of a video, creating a new, stylized visual experience.

Context-Aware Text Summarization System

An advanced system that generates concise summaries of long texts by understanding the document's broader context and key information.

Voice Cloning and Speech Style Transfer Tool

A tool that replicates a speaker's voice and transfers a specific speech style or emotion to new synthesized audio content.

Interactive AI Storyteller with Image Generation

An AI that collaboratively creates stories with users, dynamically generating scenes and characters based on a developing narrative.

2D Sketch to 3D Object Generation Pipeline

A seamless workflow that converts simple two-dimensional sketches into detailed, three-dimensional models for creative and design purposes.

Synthetic Data Generator for Model Training

A system that produces large and diverse datasets for machine learning models, overcoming data scarcity for effective training.

AI-Powered Video Subtitle Generator and Translator

An automated solution that transcribes spoken language in videos and translates it into accurate subtitles for global accessibility.

Generative Design Tool for Product Prototyping

An AI application that rapidly generates numerous product design prototypes based on a set of constraints and functional requirements.

RAG-based Research Assistant (Retrieval-Augmented Generation)

An intelligent assistant that answers complex queries by retrieving relevant information from large documents and generating coherent responses.

Multilingual Chatbot with Memory and Personality

A conversational agent that can communicate in multiple languages while maintaining a consistent personality and recalling past interactions.

AI-Powered Comic Strip Generator from Text Prompts

A tool that creates unique comic strips by converting user text prompts into sequential images with a consistent artistic style.

Explainable AI Engine for Text Classification

An AI system that classifies text and provides clear, understandable reasons for its decisions, ensuring transparency and trust.

Autonomous Slide Generator from Research Papers

An AI that automatically extracts key findings and data from research papers to create well-structured, presentable slide decks.

AI Assistant for Code Generation and Explanation

A helpful tool that writes code snippets and explains complex programming logic in simple terms, assisting developers with their tasks.

AI-Driven Marketing Content Generator Across Formats (text, image, video)

A unified platform that produces marketing materials in various formats, including text, images, and videos, from a single campaign brief.

Real-Time Emotion Detection and Response AI System

A system that identifies human emotions from facial expressions or speech and generates appropriate, empathetic responses in real time.

Job Obligation After This Course

WE CAN APPLY FOR JOBS IN

Build in-depth reports and dashboards using Tableau and Excel to efficiently communicate data insights to stakeholders

Collect, clean, and analyze data to extract meaningful insights that inform strategic business decisions.

Develop and optimize SQL queries to maintain performance and accuracy in relational databases.

Apply statistical and analytical methods to identify trends, patterns, or opportunities within datasets.

Provide data-driven insights to support business objectives and decision-making.

Automate routine data processes using Python, enhancing efficiency and reducing manual workloads.

Collaborate with IT, management, and cross-functional teams to implement data-driven solutions.

Stay updated on trends and advancements in data analytics to maintain expertise and relevance.

Companies Hiring for this Course

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Admission Process

The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.

Course Fees & Financing

Course Fees

Enroll Now & Save Up To

60%

In USD

$1,199

In INR

99,999

Inclusive of All Taxes

Enroll Now →
Payment Partners

We partnered with financing companies to provide competitive finance options at 0% interest rate with no hidden costs.

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UPCOMING BATCHES/PROGRAM COHORTS

BatchDateTime (IST)Batch Type
Online Live Instructor Led Session30 August 20259 PM to 12 AMBatch 1
Online Live Instructor Led Session14th Sept 20259 PM to 12 AMBatch 2

COMPARISON WITH OTHERS

FeatureOur CourseCOMPETITOR ACOMPETITOR B
Curriculum ScopeComprehensive: Python, ML, DL, NLP, CV, Generative AIBasic ML and DL focusGeneral AI with less focus on Generative AI
Hands-On ExperienceExtensive practical projects with tools like GPT, DALL-E 2Limited practical projectsHands-on projects mainly in traditional AI
Advanced ToolsGPT, DALL-E 2, Midjourney, Hugging Face, Transformers, GANs, RAG, LangChainFocus on traditional ML frameworksEmphasis on standard ML and AI tools
Instructor ExpertiseExperienced professionals with industry and research backgroundMix of industry and academic instructorsPrimarily academic-focused instructors
Real-World ApplicationsEmphasis on real-world problem-solving and innovationMostly theoretical applicationsGeneral applications with less focus on innovation
Career SupportStrong focus on career advancement and networkingBasic career servicesLimited career support and networking opportunities
Networking OpportunitiesConnect with peers and industry leadersLimited networking eventsFew networking opportunities
Certification ValueRecognized certification for advanced AI rolesStandard certificationGeneral certification with less industry recognition

Frequently Asked Questions