Work on real-world projects like rain prediction, drowsiness detection, house price forecasting, AI chatbots, and fire detection using ML, LSTM, CNN & OpenAI — perfect to sharpen your skills and build a strong portfolio.
Dive into the world of data with our industry-focused Data Science course designed for beginners and aspiring professionals. This program combines statistics, programming, machine learning, and real-world project work to equip you with the skills required to extract meaningful insights from raw data. Whether you're looking to build a career in data analysis, AI, or business intelligence
From your first dataset to your first job — we provide expert guidance, real projects, and full support every step of your Data Science journey.
Start Your Data Science Career in 6 to 8 Months with Real Projects & Mentorship.
From complete beginner to skilled Data Scientist — we guide you through every concept with structured, hands-on training.
We have both online and offline interactive learning classes. Modules are divided into several parts consists of multiple lessons and tests
A valuable certificate will be awarded after completing the entire journey. The certificate will have a grading system
Learn the core principles of digital marketing, including SEO, SEM, social media marketing, email marketing, and content creation. Understand how each channel works and how to craft strategies that drive real results.
Gain hands-on experience with tools like Python, Pandas, NumPy, Matplotlib, Scikit-learn, and Jupyter Notebooks. Work on real datasets, build predictive models, visualize insights, and develop the confidence to handle real-world data science projects.
Python Programming
Learning the basics of Python programming is essential for data scientists to manipulate and visualizing data. This section will cover the basic syntax, operators, strings, functions, and other essential details to help you analyse large amounts of data and manipulate them.
Data Analysis
Data analysis helps you in making informed decisions with data exploration and visualization using advanced tools. This section will cover the basics along with teaching you how to scrape data from websites using libraries
Statistics
This section give you an overview of descriptive statistics and inferential statistics that provide the foundation for understanding and analyzing complex data. Explore the statistical foundations for data signs from this section and apply them to data analysis projects.
Machine Learning
The course comprises basic knowledge of machine learning and its three main types: supervised, unsupervised, and reinforcement learning among other essential topics.
NLP
This section will teach you Named Entity Recognition, text pre-processing, and text representation, along with applications ranging from sequential modelling, and building sentiment analysis.
Deep Learning
This section allows you to master advanced topics like CNN (Convolutional Neural Networks), RNN (Recurrent Neural Networks), Neural Network architecture, and more.
Computer Vision
The computer vision syllabus allows you to understand how to create algorithms for computers to read and write data sent via images or videos.
Projects & Case Study
Work on real-world projects like rain prediction, drowsiness detection, house price forecasting, AI chatbots, and fire detection using ML, LSTM, CNN & OpenAI — perfect to sharpen your skills and build a strong portfolio.
Hear directly from our students as they share their experiences, success stories, and how our practical training transformed their careers.
On completing the course, you’ll earn a certificate that qualifies you to:
Find quick answers about the course, career scope, who can join, and how we help you succeed in Data Science.
Data Science is one of the fastest-growing and most in-demand fields globally. With data becoming the backbone of every industry, companies are actively hiring skilled data professionals to analyze trends, make predictions, and drive decisions. The scope continues to expand across industries like healthcare, finance, marketing, retail, and technology.
After completing the course, you can apply for roles such as:
Data Analyst
Junior Data Scientist
Business Intelligence Analyst
Machine Learning Engineer
AI/ML Assistant Developer
Data Engineer (with experience)
These roles are available across startups, MNCs, IT firms, and even in non-tech sectors looking to leverage data.
Anyone with basic computer knowledge and a passion for learning! This course is ideal for:
Students and graduates from any stream
Working professionals looking to switch careers
Freshers who want to enter the tech field
Entrepreneurs wanting to use data for growth
Non-programmers who are willing to learn step by step
We offer:
Expert-led live classes
Doubt-clearing and revision sessions
Real-world projects and assignments
Career counseling and resume-building help
Interview preparation and placement assistance
Lifetime access to study material and recorded sessions
No! The course is designed for beginners. We start with Python programming from scratch and gradually build up to advanced topics like Machine Learning and Data Visualization.
We offer both online and offline options, depending on your preference and location. All online classes are live, interactive, and recorded for future access.
Upon successful completion of the course, you will receive a certificate which will enable you to -
Rooms oh fully taken by worse do. Points afraid but may end law lasted. Was out laughter raptures returned outweigh.
© 2025 Digital Marketing Nurture. All rights reserved.