![7803722 [Recovered]-05](https://bharatskillz.com/wp-content/uploads/2024/06/7803722-Recovered-05.png)
Data Science Online Course
Introduction to Data Science
Unlock the Power of Data: Transform Information into Actionable Insights
- 21 hours on-demand video
- 15 articles
- 55 downloadable resources
- Access on mobile and TV
- Full lifetime access
- Certificate of completion
Become an Expert in
Data Science
Over 150+ students have already registered for the next batch!
- Still have any doubt?
- Need info on the upcoming batch?
- +91-8287357114
- Understand the core concepts, tools, and methodologies of data science.
- Learn techniques for gathering and preprocessing data for analysis.
- Apply statistical methods to interpret data and uncover trends.
- Explore algorithms like regression, classification, and clustering for predictive modeling.
- Master tools like Python, Tableau, and Power BI to create compelling visualizations.
- Gain hands-on experience with Hadoop, Spark, and other big data tools.
- Learn to extract valuable information from large datasets.
- Work on a real-world data science project to apply your learning.
- No Prior AI Knowledge Required
- Working Internet Connect.
The Data Science course at BharatSkillz is designed to turn you into a data-driven decision-maker. Covering everything from data collection and cleaning to advanced machine learning algorithms and big data technologies, this course provides a comprehensive skill set for aspiring data scientists. You’ll learn to analyze complex datasets, build predictive models, and visualize data in ways that drive actionable business insights. With hands-on projects and industry-relevant case studies, you’ll emerge as a proficient data scientist, ready to tackle real-world challenges.
Top companies offer this course to their employees
This course was selected for our collection of top-rated courses trusted by businesses worldwide.
Data Science Course Syllabus
What is data science? Applications & key components of data sciences, Data science as carrier
Machine learning life cycle, Applications of machine learning, Types of machine learning, Overview of anaconda & jupyter notebook, Installation of anaconda
Python fundamentals (operators, conditionals, loops, functions) Python data structure (lists, tuples, dictionary, set, arrays)
File handling in python, NumPy, Pandas, Matplotlib, Seaborn
Data collection from files (CSV/EXCELS) Data collection from database (MYSQL/ SQLITE) Data collection from API’s Data collection through web scraping (beautiful soup/selenium)
Data cleaning & preprocessing using NumPy & pandas, Data visualization using Matplotlib, seaborn, tableau
Linear & logistic regression, Decision tree, Random Forest, Navie bayes & K nearest Neighbours, SVM & Clustering, K-Means & K-MEDOIDS
NLP, Neural networks, TensorFlow, Keras
Tools Included
Certificate Included
Pricing plans
Data Science Course Fee
Top-quality learning that’s easy on your pocket.
Self Paced
You’ll Get Access to:-
Internship Certificate by Co-Branded Company
-
1 Minor + 1 Major project
-
LIVE INTERACTIVE SESSIONS
-
Recorded Modules
-
25+ hours of video content access
-
Certificate on successful completion
-
Training Certificate from Bharat Skillz
Mentor Led
Everything in Self Paced, Plus:-
Internship Certificate by Co-Branded Company
-
1 Minor + 1 Major project
-
LIVE INTERACTIVE SESSIONS
-
Recorded Modules
-
25+ hours of video content access
-
Certificate on successful completion
-
Training Certificate from Bharat Skillz
FAQ's
At Bharat Skillz, we’re committed to delivering top-notch support—your questions are our priority.
Python basic Python concepts & terms Python fundamentals Python data structure & modules
Pandas & visualization
Introduction to probability theory Distribution central limits theorem & hypothesis testing
Introduction to Artificial intelligence Applications of Artifiticial intelligence Hands on work with Python
Introduction to Neuron deep learning (basics & scope) Evolution of deep learning Applications of Deep learning Machine learning Vs. Deep learning Techniques & types of deep learning Introduction to ANN
Neuron Diagram Neuron Models & NETWORK FUNCTIONS of Neurons activation Functions of Gradient descent & Stochastic Ramp function & sigmoid function & Gaussian function
Perceptron & multilayer network Backpropagation Deep neural network installing libraries Creating ANN python Training the model
Introduction to open Cv (Image processing) Learning basic image manipulations Introduction to CNN CNN Institution Convolution Operation pooling Flattering building a CNN using python Training the model
Introduction to open Cv (Image processing) Learning basic image manipulations Introduction to CNN CNN Institution Convolution Operation pooling Flattering building a CNN using python Training the model
