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Data Science with Python

The GainBadge data science course provides participants with comprehensive insights into data science, including Python programming, data analysis libraries, database management, statistical techniques, and advanced knowledge of machine learning, deep learning, natural language processing (NLP), MLOps, and DataOps included – will have strong skills to solve real-world challenges in a rapidly evolving scientific field.

Azure Cloud
99% of learners report satisfaction upon completing the program
Working professionals experience a 200% salary increase after completing the program
Freshers Earned an Average 12 LPA after completion of the course
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Why Join this Program

Flexible Learning

Enjoy the flexibility of online learning with live classes, recorded sessions, and a self-paced study option. Balance your studies with your personal and professional commitments for a seamless learning experience.

Expert Trainers

Learn from industry professionals with years of experience in full-stack development. Benefit from their insights, guidance and personal feedback to accelerate your learning journey.

Hands-on projects

Build a strong portfolio with real-world projects that demonstrate your skills. Create projects that mimic real industry scenarios, and make sure you’re ready for work from day one.

Comprehensive Curriculum

Acquire mastery in Python, R, SQL, and advanced machine learning techniques,Deep Learning, NLP  preparing you for coveted roles in data science sought by top employers.

Free Career Counselling

We are happy to help you 24/7

About Program

The GainBadge data science course provides participants with comprehensive insights into data science, including Python programming, data analysis libraries, database management, statistical techniques, and advanced knowledge of machine learning, deep learning, natural language processing (NLP), MLOps, and DataOps included – will have strong skills to solve real-world challenges in a rapidly evolving scientific field.

Key Highlights

Skills Covered

Career Transition

3 Million Career Opportunities

Learning Data Science opens doors to over 3 million job opportunities, connecting you to diverse roles and pathways for professional growth in the tech industry.

Lucrative Salaries

Data Science are in high demand, with competitive salaries reflecting industry growth. Stay informed about salary trends and position yourself for higher earnings in this dynamic field.

45% Annual Growth

45% Annual Career Growth: Data Science experience a remarkable 45% annual career growth, highlighting robust expansion and promising opportunities for advancement in the tech industry.

Job Titles includes

Who can Apply for the course?

Instructors Profiles

5 Industry Experts

Learn from 5 Industry Experts with years of real-world experience and deep knowledge in full stack development.

6 - 12 years of experience Range

Each of our trainers has six to twelve years of industry experience which guarantees you that at GainBadge you will have highly experienced and knowledgeable full stack development professionals as your trainers.

Area of expertise

Comprehensive knowledge and skills in Data Science are what trainers in our team specialise in. They have a deep understanding and are experienced in AI, NLP, ML, and Deep Learning.

Excited about this program? Enroll today to secure your spot

Simply provide your details, and our course counselors will be in touch to assist you further

Incourse

Course Curriculum

Module 0 - Introduction to Data Science
  • What is Data Science?
    • Definition and scope of Data Science
    • Data Science vs. Data Analytics vs. Data Engineering
    • The data science process: Data collection, Data cleaning, Data analysis, Data interpretation, Data visualisation
  •  Importance of Data Science in Business
    • Applications of data science in various industries
    • Case studies showcasing the impact of data science
  • Overview of Data Science Tools and Techniques
    • Overview of tools: Python, SQL, MongoDB, Machine Learning libraries, Deep Learning frameworks, NLP tools, MLOps/DataOps
    • Introduction to data science techniques: Data visualization, Statistical analysis,Machine learning, Deep learning, Natural Language Processing (NLP)
Module 1 - Python for Data Science
  •  Introduction to Python
    • Installing Python and setting up the environment
    • Python IDEs: Jupyter Notebook, PyCharm, VS Code
    • Basic syntax, Variables, Data Types
    • Control Flow: Conditional statements (if, elif, else), Loops (for, while)
  • Data Structures in Python
    • Lists: Creating, Indexing, Slicing, List comprehensions
    • Tuples: Creating, Accessing elements, Immutability
    • Dictionaries: Creating, Accessing values, Adding/Removing keys
    • Sets: Creating, Operations (union, intersection, difference)
  • Functions and Modules
    • Defining functions, Function arguments, Return values
    • Lambda functions
    • Importing and using standard modules (math, datetime, os)
  • File Handling in Python
    • Reading from text files (open, read, readline)
    • Writing to text files (write, writelines)
    • Working with CSV files (csv module)
Module 2 – Working with Databases
  •  Introduction to SQL
    • Basics of SQL: SELECT, INSERT, UPDATE, DELETE
    • Filtering and sorting data: WHERE, ORDER BY
    • Aggregate functions: COUNT, SUM, AVG, MIN, MAX
    • Grouping data: GROUP BY, HAVING
    • Joins: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN
    • Subqueries and nested queries
    • Indexes and their importance
    • Connecting Python with MySQL (using mysql-connector-python)
  •  Introduction to NoSQL with MongoDB
    •  Basics of NoSQL databases and MongoDB
    • MongoDB data model: Collections and documents
    • CRUD operations: Create, Read, Update, Delete
    • Querying data in MongoDB
    • Indexing and Aggregation
    • Connecting Python with MongoDB (using pymongo)
Module 3 - Statistics for Data Science
  • Descriptive Statistics
    • Measures of central tendency: Mean, Median, Mode
    • Measures of variability: Range, Variance, Standard Deviation
    • Data distribution: Skewness, Kurtosis
  •  Inferential Statistics
    • Concept of population and sample
    • Hypothesis testing: Null and alternative hypotheses
    • Types of tests: t-test, Chi-square test, ANOVA
    • Confidence intervals
    • p-values and significance levels
  • Regression Analysis
    • Simple linear regression: Concept, Equation, Interpretation
    • Multiple regression: Concept, Equation, Interpretation
    • Logistic regression: Concept, Equation, Interpretation
Module 4 - Machine Learning
  •  Introduction to Machine Learning
    • Definition and types of machine learning: Supervised, Unsupervised, Reinforcement
    • The machine learning workflow: Data preprocessing, Model building, Model evaluation
  •  Supervised Learning
    • Regression algorithms: Linear Regression, Decision Trees, Random Forest, Gradient Boosting
    • Classification algorithms: Logistic Regression, k-Nearest Neighbors, Support Vector Machines, Naive Bayes
  •  Unsupervised Learning
    • Clustering algorithms: k-Means, Hierarchical Clustering, DBSCAN
    • Association rule learning: Apriori, Eclat
  •  Model Evaluation and Selection
    • Model evaluation metrics: Accuracy, Precision, Recall, F1 Score, ROC-AUC
    • Cross-validation
    • Hyperparameter tuning: Grid Search, Random Search
Module 5 - Deep Learning
  •  Introduction to Deep Learning
    • Basics of neural networks: Neurons, Layers, Activation functions
    • Overview of Deep Learning frameworks: TensorFlow, Keras, PyTorch
  •  Building Neural Networks
    • Feedforward neural networks
    • Training neural networks: Backpropagation, Gradient Descent
    • Regularisation techniques: Dropout, Batch normalisation
  •  Advanced Neural Network Architectures
    • Convolutional Neural Networks (CNNs): Architecture, Applications in image processing
    • Recurrent Neural Networks (RNNs): Architecture, Applications in sequence modelling
    • Long Short-Term Memory (LSTM) networks
Module 6 - Natural Language Processing (NLP)
  •  Introduction to NLP
    • Basics of NLP: Text preprocessing, Tokenization, Stop words, Stemming, Lemmatization
    • Overview of NLP libraries: NLTK, SpaCy, Transformers
  •  Text Classification
    • Bag of Words (BoW), TF-IDF
    • Building text classification models: Naive Bayes, Support Vector Machines
  • Advanced NLP Techniques
    • Word embeddings: Word2Vec, GloVe
    • Sequence-to-sequence models
    • Transformer models and BERT
Module 7 - MLOps/DataOps
  •  Introduction to MLOps/DataOps
    • Importance of MLOps/DataOps in the data science lifecycle
    • Overview of tools: Docker, Kubernetes, MLflow, Airflow
  •  Model Deployment
    • Deploying machine learning models: REST API, Flask, FastAPI
    • Serving models in production: Docker, Kubernetes
  • Model Monitoring and Maintenance
    • Monitoring model performance
    • Handling model drift
    • Automated retraining and pipeline automation

Program Highlights

Live Session across 3 months
Career Resources
3 Industry Capstone Projects
Support

Program Schedule

Type

Start Date

Time

Mode

Apply

Weekday Batch

July 10 2024

8PM - 10PM 

Live Online

Click here to Apply

Weekend Batch

July 13 2024

10AM - 1PM

Live Online

Click here to Apply

GainBadge Projects

Real-time projects will be included as part of your Software Testing certification course to help you consolidate your knowledge. Project work will provide you with hands-on experience in the field.

What Our Students have to say

Devender Jakkula
Devender Jakkula
Student
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Hi, with my own experience, I Am saying that the GainBadge training centre is the best institute to learn Sql DBA. Recently I joined this coaching centre. The trainer was excellent and had a lot of patience to explain things.I prefer this institute over any other institutes.
Pittala Venkatesh
Pittala Venkatesh
Student
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I highly recommend GainBadge for anyone looking to improve their product management skills. The instructors were knowledgeable and engaging, and the course material was well-organised and easy to follow. I especially appreciated the hands-on exercises and real-world examples used throughout the course
Priyanka Lakshman
Priyanka Lakshman
Student
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I took up a scrum alliance course and it was really useful, the trainer was amazing. I would highly recommend it.
Vodeti Nagaraju
Vodeti Nagaraju
Student
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Having just finished a HRP (Health Rules Payer) training session, I was generally rather pleased with the program's calibre. This course was created to give people who haven't worked with a lot of products a firm grasp of the fundamental ideas and methods required to succeed as a business system analyst.
Srinath Deshmukh
Srinath Deshmukh
Student
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I recently completed a Product Management training course at Gain Badge and was overall very impressed with the quality of the program. The course was designed to help individuals with limited product experience gain a solid understanding of the key concepts and techniques needed to become a successful product manager in Industry.
Durga Prasad
Durga Prasad
Student
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The instructor's at Gain Badge have got industry experience and it really shone through in the material, and I appreciated the emphasis on practical skills and tools. I highly recommend this course to anyone looking to advance their product management career
Vijaysimha Naidu
Vijaysimha Naidu
Student
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I took training from Gain Badge IT training on core Java . Excellent training and management . Trainers were experts in teaching the course with real Time projects which helped me to clear interviews. I highly recommend Pride Badge IT Training to get real Time project experience learning.
Krishna G
Krishna G
Student
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Very helpful and friendly service. Will help in completing tasks on time. They're expertise in Java
Ramya Arjuna
Ramya Arjuna
Student
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I have taken full stack dev training as a part of corporate training offered by my org. Trainers are professional. content is goo
Jyothi Rudra
Jyothi Rudra
Student
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I have taken QA testing classes via online training. The quality of training, explanation by trainer, material, sticking to schedules and turnaround time for support is very good. Happy to choose this.
Sai Papi Reddy Satti
Sai Papi Reddy Satti
Student
Read More
Great platform to kick start your journey with GainBadge. explained every concept in a detailed manner.
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Our Alumni Works at

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Career Services

Azure Cloud

GainBadge Certification

After the completion of course, you will be given a Badge and a Certificate.

Data Scientist

Certification Benefits:

  • Industry Recognition: Our certification holds weight with main employers, supplying you with a wonderful benefit within the competitive job marketplace.
  • Skills Validation: Prove your expertise in Data Science through a certificates that can be verified.
  • Career Progression: Strengthen your resume and LinkedIn profile with a certification that underscores your dedication to professional improvement.
  • Personal Milestone: Commemorate your fulfillment with a certificate that mirrors your determination and attempt.
  • Lifelong Learning: Our certification marks the begin of your adventure. Stay cutting-edge with get entry to to impending course updates and advanced modules.

Start your journey towards a great career today

Earn your badge

Complete all modules, engage in case studies, and successfully obtain your certification

Engage & Cohort Introduction

Connect with your community and establish objectives, then commence the coursework and activities.

Application Submission & Screening

Start your journey by filling out your form. Connect with our Learning Counselor to find the perfect program fit.

Program Fee

We collaborated with financing companies to offer competitive 0% interest financing options with no hidden costs.

Financing Partners

EMI Partner

The credit facility is supplied by an independent third-party provider, and any agreements with this provider fall outside the jurisdiction of GainBadge.

EMI Starts at Rs.4500

Total Admission Fee

₹ 50,000 + GST

EMI Starts at Rs.4500

Frequently Asked Questions

GainBadge’s Data Science with Python Program is a comprehensive training course designed to teach you everything you need to become a skilled Data Scientist. You will learn Machine Learning, Deep Learning, Natural language processing (NLP), MLOps, DataOps and also work on real-world projects, and receive support from experienced instructors. The program also offers career services to help you find a job after completion.

Enrolling in GainBadge’s Data Scientist Program will enable you to:

  • Master both theoretical and practical aspects of data science.
  • Gain practical experience through real-world projects.
  • Benefit from mentorship by experienced data scientists.
  • Customize your learning path with flexible scheduling options. This program equips you with the skills required for a successful career as a data scientist.

If you’ve watched one of our class recordings, you’ve already seen the quality we offer. We are committed to creating an optimal learning environment to help you excel. Our courses are built on the expertise of knowledgeable instructors, the support of dedicated Personal Learning Managers, and engaging interactions with your peers. This means you will benefit from a comprehensive learning experience, not just a demo

The Data Science Program welcomes individuals from diverse backgrounds without any specific skill sets or prerequisites. Whether you are an experienced IT professional or a newcomer to web development, our program is tailored to suit a wide range of professional experiences and aspirations.

The ideal time duration taken to complete GainBadge’s Training Program is of 16 weeks only.

If you miss any lecture or class, do not worry! You can catch up by accessing the recording through GainBadge’s Channel. At GainBadge, we are committed to your success and go above and beyond to support you. Our live session participation rate stands at an impressive 83%, ensuring you stay on track with your learning journey. With our Assured Learning Framework and Personal Learning Manager (PLM), you can be confident that you will not miss out on any class, guaranteeing you receive the knowledge and certification you signed up for in this online course.

This Data Science Course will prepare you for a variety of roles in the software development industry. Upon completion, you’ll be equipped for positions such as:     

  • Data Analyst
  • Machine Learning Engineer
  • AI Engineer
  • Research Scientist
  • Quantitative Analyst
  • Predictive Modeller
  • Data Engineer
  • Data Scientist 

These roles often span various industries, including finance, healthcare, e-commerce, technology, and more. With the comprehensive skills gained from this course, you’ll have the foundation to excel in diverse software development environments.

What is included in this course?

I’m Interested in This Program

Apply Now
Enhance Your Skills for Your Ideal Career
Apply Now
Enhance Your Skills for Your Ideal Career