Data Science Training in Bangalore

About Our Data Science Training in Bangalore

The Data Science Training in Bangalore at Infocampus is a carefully structured, job-oriented program that focuses on practical implementation rather than only theoretical formulas. We begin with Python Programming for Data Science – variables, data structures, functions, loops and libraries – and then move into Numpy, Pandas and Matplotlib to help you clean, explore and visualize datasets effectively.

Alongside programming, we cover Statistics and Probability for Data Science – descriptive statistics, distributions, sampling, hypothesis testing, correlation and regression basics – in a simplified, example-driven way so that even non-maths students can understand how to apply concepts in real projects.

Once the foundations are strong, we introduce Machine Learning with scikit-learn: supervised learning (classification & regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning and basic model deployment concepts. You will work on real-time datasets such as sales data, customer churn, loan default, HR analytics, retail and basic time-series style problems.

Our Data Science Course in Bangalore also includes basic exposure to SQL for Data Analysis, Data Visualization tools (Matplotlib/Seaborn and overview of Power BI / Tableau) so you understand how data flows from database to analysis dashboards. The training is delivered with live coding, doubt clearing sessions and assignment-driven learning, making it suitable for freshers as well as working professionals.

We provide one of the best Data Science Training in Bangalore with placement assistance for learners from Marathahalli, BTM Layout, HSR Layout, Silk Board, Electronic City, Whitefield, Hebbal, Indiranagar, JP Nagar, Jayanagar, Rajajinagar, Yelahanka and nearby localities. Our Data Science Online Training in Bangalore is designed for job seekers and working professionals who need flexible schedules. We conduct Data Science Live Online Classes so that you can practise in real-time, share your screen, fix errors with trainer support and gradually build a strong Data Science project portfolio.

Why Choose Data Science as a Career in Bangalore?

Data Science has become a core function across industries. Companies in domains like e-commerce, banking, telecom, healthcare, education, logistics, retail and SaaS products rely on data-driven decision making. This creates a constant demand for Data Science professionals who can extract insights, build predictive models and support business strategies.

By joining a Data Science Training in Bangalore, you open doors to multiple job roles:

• Data Scientist – building predictive models, performing advanced analytics and supporting strategic decisions.
• Data Analyst / Business Analyst – analyzing reports, dashboards and KPI trends for business teams.
• Machine Learning Engineer – implementing and optimizing ML models for production environments (requires further specialization).
• Data Engineer (entry path) – working with ETL, data pipelines and data preparation after additional learning.
• Reporting / BI Developer – working with dashboards and visualization tools (Power BI, Tableau) based on analytics knowledge.

Bangalore, being a major hub for analytics centers, global capability centers (GCCs), product startups and consulting firms, offers a wide range of Data Science and Data Analytics job opportunities. A structured Data Science Course in Bangalore helps you understand what companies expect from entry-level data professionals.

Key Highlights of Data Science Course in Bangalore

Infocampus has designed the Data Science Training in Bangalore with a clear, outcome-focused structure. We emphasize understanding, coding and practice so that you feel confident solving business problems using data. Some key highlights include:

• Complete Python for Data Science – basics to advanced usage with Numpy & Pandas.
• Statistics & Probability for Data Science taught with practical, real-world examples.
• SQL basics for data extraction and integration with analytics workflows.
• Exploratory Data Analysis (EDA) – data cleaning, feature understanding, outlier detection.
• Data Visualization using Matplotlib/Seaborn and an overview of tools like Power BI/Tableau.
• Machine Learning Algorithms – regression, classification, clustering, model evaluation.
• Introduction to End-to-End Data Science Project Lifecycle – from problem statement to model deployment overview.
• Multiple case studies and mini-projects using industry-style datasets.
• Basic Git & GitHub usage for maintaining your Data Science project portfolio.
• Interview preparation, resume building and placement guidance focused on Data Science and Data Analyst roles.

The Data Science Course in Bangalore is suitable for freshers as well as experienced professionals who want to switch into Data Science, Data Analytics or Machine Learning.

Data Science Training Syllabus – Step-by-Step Curriculum

The syllabus for our Data Science Training in Bangalore is divided into clear modules, starting from fundamentals and gradually moving towards advanced topics. Below is a high-level overview:

• Module 1: Introduction to Data Science & Career Paths
  What is Data Science, differences between Data Scientist, Data Analyst and ML Engineer, real-world use cases, tools and technologies used in the industry.
• Module 2: Python Programming for Data Science
  Python basics – variables, data types, operators, control flow, functions, lists, tuples, dictionaries, loops and best practices for writing clean, readable code.
• Module 3: Numpy – Numerical Computing
  Numpy arrays, indexing and slicing, array operations, vectorization, broadcasting, basic linear algebra operations and performance benefits of Numpy.
• Module 4: Pandas – Data Wrangling & Manipulation
  Series and DataFrame, reading/writing CSV and Excel files, handling missing values, filtering, grouping, aggregations, merging and joining datasets for analytics.
• Module 5: Data Visualization with Matplotlib & Seaborn
  Line plots, bar charts, histograms, boxplots, scatter plots, pair plots, heatmaps, customization of charts and communicating insights visually.
• Module 6: Statistics & Probability for Data Science
  Mean, median, mode, variance, standard deviation, distributions, sampling, central limit theorem (conceptual), correlation, covariance and basic probability rules.
• Module 7: Hypothesis Testing & Regression Basics
  Formulating hypotheses, p-values (conceptual), t-tests (intro-level), simple linear regression, multiple regression overview and interpreting results in data-driven decisions.
• Module 8: SQL Fundamentals for Data Analysis
  Basic SQL queries – SELECT, WHERE, GROUP BY, ORDER BY, JOINS, aggregate functions, simple subqueries and using SQL as a data source for analytics.
• Module 9: Exploratory Data Analysis (EDA)
  Understanding the data, checking structure, distributions, missing values, outliers, feature relationships and creating EDA reports for stakeholders.
• Module 10: Supervised Machine Learning – Regression
  Linear Regression, evaluation metrics (RMSE, MAE, R²), overfitting vs underfitting, train-test split and basic techniques for improving model performance.
• Module 11: Supervised Machine Learning – Classification
  Logistic Regression, Decision Trees, Random Forest (intro), KNN, classification metrics (accuracy, precision, recall, F1-score, confusion matrix).
• Module 12: Unsupervised Learning – Clustering & Dimensionality Reduction
  K-means clustering, basic clustering applications, PCA (concept overview) and using unsupervised methods for segmentation and pattern discovery.
• Module 13: Model Evaluation & Improvement
  Cross-validation concepts, hyperparameter tuning (GridSearchCV/RandomizedSearch overview), handling imbalanced data (basic techniques) and building reliable models.
• Module 14: Introduction to Time Series Concepts (Overview)
  Time series basics, trend and seasonality (conceptual), simple forecasting scenarios with Python (intro-level).
• Module 15: Introduction to BI & Dashboarding (Overview)
  Basic exposure to tools like Power BI / Tableau – connecting to data, creating simple dashboards, and understanding how Data Science and BI complement each other.
• Module 16: Data Science Project Lifecycle
  Problem understanding, data collection, EDA, feature engineering (intro), model building, validation, documentation and presenting insights to non-technical audiences.
• Module 17: Git, GitHub & Portfolio Building
  Using Git for version control, pushing notebooks and scripts to GitHub, organizing your Data Science portfolio for recruiters.
• Module 18: Final Data Science Project
  Working on an end-to-end case study – such as customer churn, sales prediction or HR analytics – including EDA, model building, evaluation and insight presentation.

Each module of the Data Science Training in Bangalore is supported by practice exercises, assignments and trainer guidance so that you can apply every concept to real-world problems.

Who Can Join Data Science Training in Bangalore?

The Data Science Course in Bangalore at Infocampus is suitable for a wide range of learners. You do not need to be a statistics expert to start; we teach concepts from basics with examples. This course is ideal for:

• Fresh graduates (BE, B.Tech, BCA, BSc, BCom, MBA, MCA, MSc) who want to start a career in Data Science or Data Analytics.
• Working professionals in IT, support, testing, operations or finance looking to move into analytics roles.
• Developers with programming background (Java, .NET, Python, etc.) interested in Data Science and ML.
• Business and MIS executives who regularly work with Excel/Reports and want to upgrade to analytics.
• Freelancers who wish to provide analytics, dashboards or ML-based services to clients.
• Anyone planning to build a long-term career in Data Science, Data Analytics or AI.

If you are unsure whether this Data Science Training in Bangalore matches your background, you can speak to our counsellors for guidance and a learning roadmap.

Classroom & Online Data Science Training Options

Infocampus offers Data Science Training in Bangalore in multiple learning modes to suit different schedules:

• Classroom Data Science Training in Bangalore
  Conducted at the institute with live coding, lab practice, whiteboard explanation and direct trainer interaction. Suitable for learners who prefer in-person guidance and a structured classroom environment.
• Data Science Online Training in Bangalore
  Live instructor-led online classes, screen sharing, doubt clearing, code walkthroughs and access to session recordings. Ideal for working professionals, outstation candidates or those who want to avoid travel.
• Fast-Track & One-to-One Data Science Course
  Customized plans for learners who want accelerated coverage, specific topic focus or one-to-one mentoring alongside regular batches.

Whichever mode you choose, the Data Science Course syllabus, projects and placement support remain consistent for all learners.

Tools & Technologies Covered in Data Science Course

During the Data Science Training in Bangalore, you will work with multiple tools and technologies commonly used in the industry:

• Programming: Python
• Libraries: Numpy, Pandas, Matplotlib, Seaborn, scikit-learn
• Data: CSV, Excel, basic SQL databases
• IDEs / Editors: Jupyter Notebook, VS Code
• Version Control: Git & GitHub basics
• BI / Dashboard: Overview of Power BI / Tableau (conceptual level)

This mix of tools ensures that you are ready to work on end-to-end Data Science and Data Analytics projects in real companies.

Projects, Portfolio & Placement Assistance

Recruiters hiring for Data Science and Data Analyst jobs in Bangalore look for candidates who can handle real datasets, perform EDA and build baseline models. That’s why our Data Science Training in Bangalore includes multiple mini-projects and a capstone project.

During the training, you will work on tasks such as:

• Cleaning and analyzing datasets (missing values, outliers, feature understanding).
• Building visualizations to show trends, comparisons and relationships.
• Implementing regression models to predict numerical outcomes (e.g., prices, scores).
• Implementing classification models for binary/multi-class problems (e.g., churn, default, category prediction).
• Final end-to-end Data Science project combining EDA, ML model and insight presentation.

In addition to technical training, we support you with:

• Creating a Data Science resume that showcases your skills, tools and project work.
• Conducting mock interviews focused on Python, statistics, analytics scenarios and basic ML concepts.
• Sharing eligible profiles with partner companies, HR networks and job consultancies in Bangalore.
• Guiding you on applying for Data Science, Data Analyst and BI roles in Bangalore and other cities.

With consistent practice and the mentoring provided in our Data Science Training in Bangalore with placement assistance, you can confidently face technical rounds and analytics interviews.

Why Choose Infocampus for Data Science Training in Bangalore?

There are many institutes offering Data Science Training in Bangalore, but Infocampus focuses on clarity, practice and career outcomes. We aim to help you genuinely understand concepts and feel confident solving real problems.

• Trainers with hands-on experience in Data Science, Data Analytics and Python-based projects.
• Structured Data Science syllabus that covers programming, statistics, ML and visualization.
• Emphasis on live coding, notebook-based learning and assignments rather than only slides.
• Exposure to Python, Numpy, Pandas, Matplotlib, basic SQL and Machine Learning in a single course.
• Flexible classroom and Data Science Online Training options with weekday/weekend batches.
• Interview preparation support, common analytics interview questions and guidance on explaining projects.
• Continued doubt support and project guidance even after course completion (limited support window).

If you are searching for a Data Science Training Institute in Bangalore that treats your learning seriously and focuses on practical skills, Infocampus can be a reliable choice.

Enroll for Data Science Training in Bangalore

Ready to start your journey into analytics, machine learning and data-driven decision making? Join Infocampus for a complete, practical and SEO-friendly Data Science Training in Bangalore. Learn Python, statistics, SQL, Data Science tools and Machine Learning step-by-step, build real projects and prepare for interviews with help from our placement team.

Call / WhatsApp: 9738001024 Email: hr.infocampus@gmail.com

Click here to register for the next Data Science Training batch.