Data Science | Trainity

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Job Training Program

Data Science

Learn by working on live projects. Get specialized training with internship experience that can help you land a full-time job

4.7
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icon 1500+ ratings
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0 Effective Fee
Get full refund after program completion within deadline
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Internship Experience
Work on 8 Live Projects & get Internship Experience
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Job Assistance
to convert your internship experience into a full-time job

How Does It Work?

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    Learn: 16 Weeks Industrial Training
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    Intern: Work on live projects & get certified
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    Get a Job: Apply to companies & get placed
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“The Data Science Program was a game-changer for me. The hands-on approach to learning allowed me to apply what I learned immediately and see tangible results.”

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Sakshi Jitendra Gupta
Student - Data Science
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“The Data Science Program gave me a strong foundation and practical experience, essential for a career in this field. ”

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Adarsh Singh Nishen
Student - Data Science
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“I enrolled in the Data Science Program and it exceeded all my expectations. The curriculum is comprehensive. I highly recommend it who want to learn data science. ”

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Prasad Gajanan Ligade
Student - Data Science
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Work-Ex Certificates

Get ahead with 3 work-ex credentials under your resume and LinkedIn profile.

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What will you be doing

Get instructions from your team leader, learn from structured training material to work on live projects & master real industry tools.

1

Python

Introduction to Python programming, including basic syntax, data structures, loops, functions, error handling, file operations, classes, lambda expressions, regular expressions, and Python package management, along with Excel and MySQL integration.
Python PIP
Python JSON

2

Algorithmic Thinking with Python

Covers the basics of algorithmic thinking, algorithm efficiency, data structures like stacks and binary trees, and memory management.
Euclid’s algorithm
Memory Management

3

Data Handling in Python (Pandas & MongoDB)

Introduces data manipulation using Pandas and MongoDB, including querying, indexing, merging, group operations, and CRUD operations in MongoDB.
Data Structure
Manipulating DataFrame

4

MongoDB

Detailed exploration of MongoDB features, including schema-less design, CRUD operations, data types, embedding documents, and managing data relationships.
Schema Types
Arrays

5

Probability and Statistics with NumPy

Focuses on probability theories, discrete and continuous distributions, inferential statistics, hypothesis testing, and statistical analysis using NumPy.
Estimation technique - MLE
Hypothesis Testing

6

Data Visualization in Python (Matplotlib, Seaborn)

Teaches data visualization techniques using Matplotlib and Seaborn, covering different types of plots and charts for data representation. Introduction to creating interactive data visualizations using Plotly’s Dash framework.
Styling Tabulation
Box Plot

7

Data Engineering with Python

Techniques for handling missing data, data encoding, outlier detection, and data transformation.
Data Handling
Data Transformation

8

Data Analysis on Image and Text Data

Covers the basics of image processing and text data analysis, including pixel manipulation, image properties, and text data preprocessing.
Pixel
Text data Processing

9

Machine Learning with Sklearn

Comprehensive coverage of machine learning concepts, including supervised and unsupervised learning, evaluation metrics, regularization, ensemble techniques, and handling imbalanced data.
Reggression
Decision Tree

10

Natural Language Processing

Introduction to NLP, including syntactic and semantic analysis, tokenization, PoS tagging, lemmatization, stemming, and sentiment analysis.
Syntactic Analysis
Tokenization
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Portfolio Projects

Build real-life industry projects and showcase your portfolio & skills to employers.

Leap iOS
Recommendation System for Movies
Develop a machine learning-based movie recommendation system using R, designed to enhance user engagement by suggesting films based on similar user preferences and viewing history.
Tribe
Developing Chatbots using ML
Implement a chatbot using Machine Learning, AI, and Data Science techniques in Python, aimed at reducing customer support workload.
Go Commerce
Speech Recognition through Emotions
Develop a speech recognition project to analyze and categorize emotions in human speech using Python's SoundFile, NumPy, and Scikit-learn.

Here's how your 18 weeks will look like

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16 Weeks Training
Master theory, tools & skillset required for the job through industrial training
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8 Portfolio Projects
Build a solid portfolio to stand out from the rest of applicants while applying for job
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Job Assistance
Use your internship experience to get a full-time job with our career guidance

Admission Process

Attend the launch session, Sign-up for the program and get enrolled in Trainity's externship program for effectively ₹0 fees.

Register for Free

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