top of page

Welcome

Welcome to our cutting-edge data analytics course! Unlike traditional training programs, our curriculum is specifically designed to provide you with practical and industry-focused skills that go beyond theory.  Our primary focus is to equip you with the skills and knowledge that will enhance your employability, ultimately helping you secure a job.

By actively working on industry-relevant projects and leveraging the latest tools and technologies, you'll develop a deep understanding of data analytics practices that are in high demand by employers. 

Upon completion of our program, you'll emerge with a strong foundation in data analytics and the confidence to tackle interviews with ease.

Our practical approach equips you with the necessary skills and knowledge to stand out among candidates, giving you a competitive edge in the job market. Prepare to embark on an exciting journey where you'll gain the expertise needed to excel in data analytics and open doors to promising career opportunities.

This revised statement highlights not only the practical and industry-oriented nature of the course but also emphasizes how it will enhance students' confidence, making them more prepared and competitive for job interviews in the data analytics field.

Eligibility

At our institution, we prioritize your passion for becoming a professional and your commitment to following instructions diligently, regardless of your academic background, grades, or previous outcomes.  B.Tech, MCA, BCA, B.Sc Computer Sc. students and MBA students can apply.

Course Duration

The course duration is set for 1 month ;  however, we understand that some candidates may encounter challenges while completing assignments and projects. Therefore, we offer the flexibility to extend the course duration up to 3-4 months, allowing individuals to comfortably navigate and overcome any difficulties they may encounter during their learning journey.

List Title 

01

Item Title

Describe the item and add all the relevant details you would like to share. Double click to edit the text and change the description.

03

Item Title

Describe the item and add all the relevant details you would like to share. Double click to edit the text and change the description.

04

Item Title

Describe the item and add all the relevant details you would like to share. Double click to edit the text and change the description.

02

Item Title

Describe the item and add all the relevant details you would like to share. Double click to edit the text and change the description.

04

Item Title

Describe the item and add all the relevant details you would like to share. Double click to edit the text and change the description.

COURSE CONTENT

Course Objectives: 

  • Understand the principles and concepts of data analytics

  • Acquire technical skills in data processing and analysis using popular tools and platforms

  • Develop proficiency in data visualization and storytelling

  • Apply various analytical techniques to real-world data sets

  • Learn how to use data analytics to solve business problems

Introduction to Data Analytics (1 Day)

  • Introduction to Data Analytics

  • Definition and scope of data analytics

  • Applications of data analytics in various industries

  • Overview of data analytics tools and platforms

Data Processing (4 Days)

  • Connect to Data Sources

  • Understanding Data models

  • Data cleaning and pre-processing

  • Merging & Appending Data

  • Creating Analytical Columns

  • Data integration and transformation

  • Data exploration and visualization       

Relational Data Base (5 Days)

  • Introduction to Relational Database

  • Tables

  • Table Joins (Relationships)

  • SQL (Structured Query Language)

Data Modelling (5 Days)

  • The Star schema

  • Creating Relationships

  • Cardinality

  • Hierarchies

  • Time intelligence

  • Dimensions & Measures

  • Calculated Columns

Role of Python in Data Analysis

  • Pandas

  • Matplotlib

  • SciPy

Data Visualization and Storytelling (5 Days)

  • Principles of data visualization

  • Tables & Matrix

  • Charts

  • Tree maps

  • Sorting & Filtering

  • Tools and platforms for data visualization

  • Storytelling with data

Applications of Data Analytics (3 Days)

  • Marketing analytics

  • Sales Analytics

  • Operations analytics

  • Financial analytics

  • Human resources analytics

Capstone Project (5 Days)

  • Apply data analytics techniques to a real-world problem

  • Develop a data-driven solution

  • Present findings using data visualization and storytelling

Preparation for Interviews (3 Days)

  • Preparation of CV

  • Preparation of PPT on Data Analytics

  • Preparation for Interview

Terms & conditions apply

Course Materials:

  • Textbook: Data Analytics Made Accessible by Anil Maheshwari

  • Data analytics software: PowerBI or Tableau ,Google Data Studio, Excel,

  • Online learning resources: Udemy, Kaggle

Assessment:

  • Class participation and engagement: 20%

  • Assignments and quizzes: 30%

  • Exam: 20%

  • Final project and presentation: 30%

Course Fees

Rs. 30,000/-   (50% discount for the first 15  shortlisted). 

We believe that every aspiring student deserves the opportunity to excel. To ensure inclusivity and support bright individuals from economically disadvantaged backgrounds, we offer reduced fees for qualified candidates.

Our commitment is to provide equal access to quality education, enabling talented students to fulfill their potential. Students who wants to avail this fees should specify it in the form.  

Submit details or whatsapp us @  8547479180

Thanks for submitting!

bottom of page