Advance Your Career with Best Data Analytics Course in Delhi

Most Advanced Data Analytics Course in Delhi by very experienced instructors using Python, Statistics, SQL, Excel, R, Power BI, Tableau, NumPy, Pandas, Matplotlib, Seaborn, and Django.

This 8-month diploma course in Data Analytics is designed for beginners to take their analytical thinking to the world’s biggest industries in our classroom and online training. We will start this course from the very basics and slowly you will be uncovering all the leading data analytical and data visualization languages and software.

As you know Data Analytics & Visualization is one of the hottest sub-sets of Data Science and data analysis using Python and R is in high demand so this course fulfills all the demands of data analysis in the industry.

Why Data Analytics is Popular?

Data Analytics is popular because it helps businesses make smarter decisions by uncovering valuable insights from data. It gives companies a competitive edge, improves efficiency, and saves costs by identifying and fixing inefficiencies. Analytics also allows businesses to personalize customer experiences, leading to higher satisfaction and loyalty. With the growing importance of data-driven decisions, there’s a high demand for skilled data analysts, making it a lucrative career choice.

Joining our Data Analytics training institute lets you master professional techniques with practical experience. You’ll learn advanced methods in data analysis, visualization, and interpretation, developing the skills to extract meaningful insights from large datasets. Take the first step towards becoming a data analytics expert and meeting the demands of today’s data-driven industries.

Why we’re on Top in Data Analytics Training Rohini?

• Across-the-board Curriculum
• Experienced Mentorship
• 99% Hiring Rate

Prerequisites for Data Analytics Training in Delhi

• Target Audience: Suitable for individuals with an analytical and logical mindset, with a minimum qualification of 10+2 (intermediate).
• Comprehensive Curriculum: Covers all leading languages and software used in data analytics and visualization.
• No Prior Experience Required: No programming experience is necessary to enroll in this course.
• Industry Application: Focuses on extracting powerful data points to aid in industry growth.
  Skill Development: Prepares learners to analyze and visualize data effectively for practical, real-world applications.

Who can join this Data Analytics Course?

• Perfect for those who love big data and have an interest in data handling in school, with a minimum qualification of 10+2 (intermediate).
• Emphasizes working with large datasets to uncover hidden success strategies that help businesses grow.
• Welcomes individuals with analytical thinking and an interest in programming, even without prior experience.

Course Structures & Modules

04 Weeks: Module 1 (Foundations – Basics of Data Analytics)

Part 1 – Introduction

• Introduction to Data Analytics
• Data Analytics in Real Life
• Data Analysis vs Data Analytics
• Common Tools and Technologies
• Data and Its Importance
• Common Steps for Data Analysis

Part 2 – Math Refresher

• Useful Concepts of Math
• Use of Algebra, Geometry, and Calculus in Data Analysis!
• Data Table, Charts, Graphs etc.

Part 3 – Statistics

• Statistics in Data Analysis
• Types of Statistics
• Types of Data
• Categorical Data
• Numerical Data
• Association between Categorical & Numerical Variables
• Correlation and Covariance
• Hypothesis Testing

Advanced Statistical Techniques

• Multivariate Regression
• Classification Problems
• Predictive Analytics
• Text Analytics

Part 4 – Probability

• Rules of Probability
• Conditional Probability
• Random Variables
• Distributions
• Combinatorics
• Bayes Theorem
• Bayesian Inference

Part 5 – Data Analysis and Visualization in Excel

• Functions in Excel
• Data Analysis
• Pivot Tables and Lookup
• Interactive charts
• What-if-analysis, GOAL SEEK
• Linking Multiple Sheets
• Sub Total Reports, Auto Filter
• Password Protecting Worksheets
• Dashboard
• Record a Macro/VBA

Part 6 – Data Analytics Essentials of SQL

• Introduction to DBMS
• ER diagram
• Schema design
• Key constraints & basics of normalization
• Joins
• Subqueries involving joins & aggregations
• Sorting
• Independent subqueries
• Correlated subqueries
• Analytic functions
• Set operations
• Grouping and filtering

10 Weeks: Module 2 (Data Analytics Practical)

Part 1 – Data Analysis with Python

• Installing and Exploring Python
• Anaconda
• Jupyter Notebook
• NumPy
• Python Pandas
• Matplotlib
• SciPy
• Django Framework

Part 2 – Use of R Language in Data Analysis

• Exploring R Programming Fundamentals
• Data Manipulation in R
• Data Modelling in R
• Variance, Linear Regression, and Logistic Regression in R
• RStudio
• Data Visualization with R
• Project in R

06 Weeks: Module 3 (Data Visualization and Insights)

Part 1 – Exploring Power BI

• Introduction to Data Visualization
• Introduction to Power BI
• Overview of the Rhyme Interface
• Importing the Data
• Fixing the Column Names
• Transforming the Data
• Creating Reports
• Defaults by Education Level
• Defaults by States
• Defaulter Ratio and Slicing the Data
• Project in Power BI

Part 2 – Exploring Tableau

• Introduction to Tableau
• Basic charts and dashboard
• Descriptive Statistics, Dimensions and Measures
• Visual analytics: Storytelling through data
• Dashboard design & principles
• Advanced design components – Improving the dashboards
• Special types of chart
• Integrate Tableau with Google Sheets and other data sources
• Project in Tableau

04 Weeks: Module 4 (Domain Exposure)

• Analytics for Marketing & Retail
• Analytics for Web & Social Media
• Analytics for Finance & Risk
• Analytics for Supply Chain & Logistics

Tools & Languages Covered:

• Statistics
• Excel
• SQL
• Python
• NumPy
• Pandas
• Matplotlib
• Seaborn
• Django
• R Language
• Power BI
• Tableau

Key Takeaways after Data Analytics Course in Delhi

• Mastering Statistics in Data Analysis
• Elementary Data Analysis on Excel
• Understanding SQL As a Query Language
• Data Analysis Using Python and R Languages
• Data Analysis and Visualization Using Power BI and Tableau
• Industrial Projects

Capstone Project: The project will integrate all the tools and techniques covered in the course, providing a practical and comprehensive demonstration of your data analytics capabilities.

Career Opportunities after Data Analytics Course in Delhi

Students who completed this course are working as Senior Data Analyst, Python Data Analyst, R Data Analyst, R Developer, Python Expert, Business Analyst, SQL Expert, Excel Expert, Power BI Expert, Tableau Professional, etc.

Other Courses at our Institute

Interested in this course take a look at some of the similar courses:

• Data Analytics Premium Course: 04 Months
• Database Administration Course: 04 Months
• Excel Analytics Course: 03 Months
• Python Data Analytics Course: 02 Months
• Power BI Course: 1.5 Months
• Maths & Statistics Course for Data Science: 1.5 Months
• Advanced Excel Course: 1.5 Month
• Advanced SQL Course: 1 Month