Data Science Course in Delhi with Certification

SKU: 11638
10 Lesson
|
40 Hours
igmguru provides the best Data Science course in Delhi. Our course curriculum includes essential topics such as Data Science Overview, Introduction to R Programming, Data Manipulation, ggplot2, and many more. As per the the latest updates, our training program also includes some AI related tools and technologies. We have successfully trained over 500 students. After this course completion, you can appear for the latest R certification exam and become certified.

Data Science Course in Delhi Overview

igmGuru is one of the best Data Science course institute in Delhi which delivers a high level of quality content with the help of Industry Expert Professionals. 

Who Can Enroll in this course?

  • Fresh Graduates from engineering, computer science, mathematics, or statistics backgrounds who want to build a career in data science.
  • Working Professionals in IT, finance, marketing, or operations aiming to transition into analytics or machine learning roles.
  • Software Developers: seeking to enhance their programming skills with data-focused technologies.
  • Business Analysts and Data Analysts: looking to upgrade from basic reporting to advanced predictive analytics.

What You Will Learn

  1. Introduction to Business Analytics
  2. Introduction to R Programming
  3. Data Structures
  4. Data Visualization
  5. Statistics for Data Science-I
  6. Statistics for Data Science-II
  7. Regression Analysis
  8. Classification
  9. Clustering
  10. Association

Key Tools Covered

  • Python & R: Widely used programming languages for data analysis and modeling.
  • Jupyter Notebook: A dynamic platform for coding and visualizing data interactively.
  • Pandas, NumPy, Scikit-learn: Key libraries for data manipulation, analysis, and machine learning model development.
  • SQL: For efficient querying and managing structured databases
  • Tableau & Power BI: For creating powerful dashboards and visual stories
  • TensorFlow & Keras: Leading deep learning frameworks for constructing neural networks.
  • Apache Spark & Hadoop: Big data tools for large-scale data processing
  • AWS or Azure: Basics of cloud platforms used in data deployment

Skills You will Develop

  • Data cleaning, exploration, and visualization
  • Statistical analysis and hypothesis testing
  • Machine learning model building and evaluation
  • Deep learning, NLP, and time-series analysis
  • Real-world project handling and communication of insights

Latest Market Trends

  • Artificial Intelligence (AI) Integration: Data Science and AI are now deeply intertwined, with machine learning and deep learning driving automation, smart decision-making, and predictive analytics across industries.
  • AutoML (Automated Machine Learning): AutoML tools are simplifying the model-building process, enabling faster development and deployment of models without needing deep programming expertise.
  • Real-Time Data Processing: Businesses now rely on real-time analytics for immediate insights, especially in sectors like finance, healthcare, and e-commerce.
  • Data Privacy and Ethics: With increasing data regulations like GDPR, ethical data usage and privacy-preserving analytics are gaining more importance in the data science pipeline.
  • Explainable AI (XAI): There's a growing demand for models that are not only accurate but also interpretable, helping stakeholders trust and understand AI decisions.
  • Big Data and Cloud Integration: Workflows are increasingly leveraging cloud platforms like AWS, Azure, and GCP for scalable, distributed data processing and storage.

Why Choose igmGuru’s Data Science Course in Delhi?

  • Industry-Relevant Curriculum: Updated content aligned with current trends and tools.
  • Expert Instructors: Learn from professionals with over 10 years of practical experience.
  • Hands-On Projects: Work on real-time case studies to build practical skills.
  • Career Support: Includes interview prep, resume building, and placement assistance.
  • Flexible Learning: Choose between self-paced or instructor-led classes to fit your schedule.

Career Opportunities After this course:

  • Research Analyst
  • Data Scientist
  • Data Analyst
  • Big Data Analytics Specialist
  • Business Analyst Consultant / Manager
  • Data analyst

Key Features

Data Science Course in Delhi Modules

1. Overview
2. Business Decisions and Analytics
3. Types of Business Analytics
4. Applications of Business Analytics
5. Data Science Overview
1. Overview
2. Importance of R
3. Data Types and Variables in R
4. Operators in R
5. Conditional Statements in R
6. Loops in R
7. R script
8. Functions in R
1. Overview
2. Identifying Data Structures
3. Demo: Identifying Data Structures
4. Assigning Values to Data Structures
5. Data Manipulation
6. Demo: Assigning values and applying functions
1. Overview
2. Introduction to Data Visualization
3. Data Visualization using Graphics in R
4. ggplot2
5. File Formats of Graphic Outputs
1. Introduction to Hypothesis
2. Types of Hypothesis
3. Data Sampling
4. Confidence and Significance Levels
1. Overview
2. Hypothesis Test
3. Parametric Test
4. Non-Parametric Test
5. Hypothesis Tests about Population Means
6. Hypothesis Tests about Population Variance
7. Hypothesis Tests about Population Proportions
1. Overview
2. Introduction to Regression Analysis
3. Types of Regression Analysis Models
4. Linear Regression
5. Demo: Simple Linear Regression
6. Non-Linear Regression
7. Demo: Regression Analysis with Multiple Variables
8. Cross Validation
9. Non-Linear to Linear Models
10. Principal Component Analysis
11. Factor Analysis
1. Overview
2. Classification and Its Types
3. Logistic Regression
4. Support Vector Machines
5. Demo: Support Vector Machines
6. K-Nearest Neighbours
7. Naive Bayes Classifier
8. Demo: Naive Bayes Classifier
9. Decision Tree Classification
10. Demo Decision Tree Classification
11. Random Forest Classification
12. Evaluating Classifier Models
13. Demo: K-Fold Cross Validation
1. Overview
2. Introduction to Clustering
3. Clustering Methods
4. Demo: K-means Clustering
5. Demo: Hierarchical Clustering
1. Overview
2. Association Rule
3. Apriori Algorithm
4. Demo: Apriori Algorithm
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Data Science Course Fees in Delhi

Online Class Room Program

US $ 599.00
100% Money Back Guarantee
  • Duration : 40 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 07 Jun 2026
  • Weekday Batch 08 Jun 2026
  • Weekend Batch 13 Jun 2026

Corporate Training

Corporate Training
  • Customized Training Delivery Model
  • Flexible Training Schedule Options
  • Industry Experienced Trainers
  • 24x7 Support

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Data Science with R Certification Exam

A Data Science with R certification exam is a test that assesses a candidate's knowledge and skills in using R for data science tasks. The exam typically covers topics such as data wrangling, exploratory data analysis, statistical modeling, machine learning, and data visualization. With igmGuru, you can prepare for and pass the exam effortlessly.

The format of the exam can vary depending on the organization offering the certification. Some exams may be taken online and consist of multiple-choice questions, while others may be taken in-person and consist of a combination of multiple-choice and open-ended questions.

To prepare for a Data Science with R certification exam, it is recommended to have a solid understanding of the R programming language, as well as experience working with data in R. Practicing with sample exam questions, working on data science projects, and reviewing relevant materials such as tutorials and documentation can also help in preparing for the exam.

It's important to note that different certification exams might have different focus and requirements, you should check with the organization offering the certification for more information.

Data Science with R Certification Exam

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