GoDigiInfotech: 's Best Tech Institute & Training Center

Best Data Science Course in Pune with Certification & Placement

Master the Skills for a Successful Career

If you are eager to become a data science expert, GoDigiInfotech’s Data Science Course in Pune is your ideal destination. This course is carefully designed to provide a deep understanding of data science concepts, along with the practical skills required to excel in today’s data-driven world.

Whether you are a beginner or someone looking to enhance your data analysis capabilities, our Data Science Training in Pune ensures that you receive expert guidance and hands-on experience. You will learn to work with real-world datasets, develop machine learning models, analyze big data, and leverage AI technologies to extract valuable insights.

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  • Best Industrial Experts
  • 100% Job Placement
  • Full Days Offline Internship
  • Mock Interviews
  • Resume Building
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Beginner level

No prior experience required to become full-stack developer.

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Study time

You should study approx 2-4 hours every day for better understanding.

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What GodigiInfotech is going to teach you?


At GoDigiInfotech, best IT training institute, we teach many things in our Data Science Course in Pune. We don't just cover the technologies, we also teach each and every topics with deep knowledge. In addition to that we have hands-on projects which are based on real-world applications so you can learn everything required for becoming an expert Data Science Course in Pune under our experienced guidance.

Module 1:

Introduction to Data Science

  • What is Data Science?
  • Data Science vs. Data Analytics vs. Machine Learning
  • Roles: Data Scientist, Analyst, Engineer, ML Engineer
  • Data Science Lifecycle: Business understanding → Data gathering → Modeling → Evaluation → Deployment
  • Real-world applications (Finance, Healthcare, E-commerce, etc.)
  • Introduction to tools: Jupyter, Google Colab, GitHub

Module 2:

Programming for Data Science (Python/R)

  • Python Focus (or R alternative):
  • Python Basics: Variables, Operators, Data Types
  • Control Structures: Conditionals, Loops
  • Functions and Lambda expressions
  • Data Structures: Lists, Tuples, Dictionaries, Sets
  • Object-Oriented Programming Basics
  • Working with files (read/write)
  • Error handling (try/except)
  • Virtual environments and package management (pip, conda)

Module 3:

Data Manipulation and Analysis

  • NumPy: Arrays, Vectorization
  • pandas: Series, DataFrames
    • Import/export (CSV, Excel, JSON)
    • Filtering, grouping, merging, pivot tables
    • Handling missing data
    • Date/time operations
  • Data transformation and feature engineering
  • Data cleaning best practices

Module 4:

Data Visualization

  • Principles of effective visualization
  • Matplotlib, Seaborn (Python) or ggplot2 (R)
  • Plot types: Histograms, Bar plots, Box plots, Scatter plots, Heatmaps
  • Interactive plots with Plotly/Altair
  • Dashboarding tools: Streamlit, Dash (Python), Shiny (R)

Module 5:

Statistics & Probability for Data Science

  • Descriptive statistics: Mean, Median, Variance, Std Dev
  • Probability basics: Independent, conditional, Bayes' theorem
  • Probability distributions: Normal, Binomial, Poisson, etc.
  • Inferential statistics:
    • Hypothesis testing (t-tests, chi-square, ANOVA)
    • Confidence intervals
  • Correlation vs. causation
  • Central Limit Theorem
  • A/B Testing

Module 6:

Machine Learning

Supervised Learning

  • Linear Regression
  • Logistic Regression
  • Decision Trees & Random Forests
  • k-Nearest Neighbors
  • Support Vector Machines (SVM)
  • Naive Bayes

Unsupervised Learning

  • Clustering: K-Means, DBSCAN, Hierarchical
  • Dimensionality Reduction: PCA, t-SNE

Model Evaluation

  • Metrics: Accuracy, Precision, Recall, F1-score, AUC-ROC
  • Confusion matrix
  • Cross-validation
  • Hyperparameter tuning (GridSearch, RandomizedSearch)

Module 7:

Deep Learning (Introductory)

  • Neural network fundamentals
  • Activation functions (ReLU, Sigmoid, Softmax)
  • Forward & backward propagation
  • Building models using:
    • TensorFlow/Keras
      • PyTorch
  • CNNs (for image classification)
  • RNNs, LSTM (for time series and NLP)
  • Transfer learning basics

Module 8:

Databases & SQL

  • Relational database basics
  • SQL queries: SELECT, WHERE, GROUP BY, JOIN, etc.
  • Subqueries and window functions
  • Database design and normalization
  • Connecting SQL with Python/R
  • Intro to NoSQL (MongoDB)

Module 9:

Big Data & Distributed Computing

  • Introduction to Big Data ecosystem
  • Hadoop: HDFS, MapReduce (basic concepts)
  • Apache Spark:
    • RDDs, DataFrames
    • Spark SQL
    • Spark MLlib
  • Cloud computing overview:
    • AWS: S3, EC2, SageMaker
    • GCP: BigQuery, Colab
    • Azure ML

Module 10:

Data Science Tools & Workflow

  • Version control with Git/GitHub
  • Project structure and reproducibility
  • Virtual environments (conda/venv)
  • Jupyter Notebook/Google Colab tips
  • Scheduling and automation: Airflow, Luigi
  • ML experiment tracking: MLflow, Weights & Biases
  • Model deployment:
    • Flask/FastAPI for API creation
    • Streamlit/Dash for web apps
    • Docker basics for packaging models

Module 11:

Capstone Project

  • Define a real-world problem (choose from business, healthcare, NLP, etc.)
  • Data sourcing and wrangling
  • Exploratory Data Analysis
  • Model building and evaluation
  • Deployment (optional)
  • Final report and presentation
  • Portfolio/GitHub showcase

Programming Languages & Tools Covered in Data Science Course in Pune

  • Python - Data Science Course in Pune
  • Pandas - Data Science Course in Pune
  • SQL - Data Science Course in Pune
  • Power BI - Data Science Course in Pune
  • NumPy - Data Science Course in Pune
  • Tableau - Data Science Course in Pune
  • Docker  - Data Science Course in Pune
  • mongoDB - Data Science Course in Pune

Certificate You Will Get

GoDigi Certificate

Upon successful completion of the Data Science Course in Pune at GoDigiInfotech, you will receive a Certificate of Achievement that validates your skills and knowledge in the field of data science. This certification is a testament to your proficiency in data analysis, machine learning, artificial intelligence, and other core concepts of data science.

Our certification is widely recognized by industry professionals and employers, helping you stand out in the competitive job market. It serves as proof of your expertise, showcasing your ability to work with data, develop models, and derive meaningful insights. This credential demonstrates your value to potential employers, giving you a distinct advantage. Additionally, the certification can significantly enhance your resume, opening up exciting career advancement opportunities in the field of data science and analytics.

Covered Projects

Project 1

Customer Relation Module/ Content management System

  • Departement Management
  • Role Management
  • User Management
  • Prospect Management
  • Task Management
  • API Integration
  • Dynamic Dashboard
  • Reports System
  • GIT & GIT Hub

Project 2

E-Commerce Website with Advanced search Technique & Live Tracking

  • Products Management
  • Dynamic Filters
  • User Management
  • Cart Management
  • Orders Management
  • API Integration
  • Dynamic Dashboard
  • Reports System
  • GIT & GIT Hub

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