Data Science Training Course in Bangalore

SKU: 11634
10 Lesson
|
40 Hours
igmGuru offers the best data science course in Bangalore. Our course content is prepared by certified industry professionals with 15+ years of experience. We have successfully trained over 500 students. After this course completion, you can apply for R certification exam and become certified.

Data Science Course in Bangalore Overview

Our course curriculum includes important key topics like Introduction to Business Analytics, Introduction to R Programming, Data Visualization, Regression Analysis, Clustering, and many more. Data Science training in Bangalore provides in-depth learning in Python, statistics, data science and machine learning, SQL, and data visualization using Data science tools like Pandas, Scikit-learn, and Tableau.

Who Can Enroll?

  • Fresh Graduates from engineering, computer science, mathematics, or statistics backgrounds who want to build a career in this field.
  • 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 Will You Learn

  1. Introduction to Business Analytics
  2. Introduction to R Programming
  3. Data Structures
  4. Data Visualization
  5. Regression Analysis
  6. Classification
  7. Clustering
  8. 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 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: Data science workflows are increasingly leveraging cloud platforms like AWS, Azure, and GCP for scalable, distributed data processing and storage.

Why Choose igmGuru’s Data Science institute in Bangalore?

  • 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.

Key Features

Data Science Course in Bangalore 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 Bangalore

Online Class Room Program

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

Classes Starting From

  • Fast Track Batch 28 May 2026
  • Weekday Batch 01 Jun 2026
  • Weekend Batch 30 May 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 Python Certification Exam

Official certification exam name is Data Science with Python - Certified Associate (varies by provider)

Exam Format

  • Duration: 90 to 120 minutes
  • Number of Questions: 60–80
  • Passing Score: 65–70%
  • Type: Multiple-choice, multiple-response, and coding-based questions
  • Mode: Online (proctored) or in-person at certified centers

Exam Cost

  • Fee: $150 to $295 USD depending on certification provider

igmGuru provides a Course Completion Certificate for Data Science with Python Training. This certification validates your knowledge in Python for data analysis, visualization, and basic machine learning concepts. It also confirms your understanding of tools such as Pandas, NumPy, Matplotlib, and Scikit-learn used in data science projects. This certification can support roles such as Data Analyst, Junior Data Scientist, and Python Developer.

Data Science with Python Certification Exam

Data Science Course in Bangalore FAQ

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