- Introduction to Python
- Variables and Data Types
- Operators
- Conditional Statements and Loops
- Functions
- Importing Modules
- List and Tuple
- Dictionaries and Sets
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Python For Data Science and AI Certification Training
Live Online Course
12 Sessions
Live Classes
Python For Data Science and AI Training Overview
ScholarHat's Python for Data Science and AI Certification Training provides a comprehensive understanding of the Python programming language and its applications in data science and artificial intelligence. Participants learn to develop robust data analysis workflows, predictive models, and AI-powered solutions.
The Python for Data Science and AI Training covers essential concepts like data manipulation, visualization, and machine learning, as well as advanced topics such as deep learning with natural language processing. Hands-on exercises and real-world projects enhance practical skills. This learning path will also teach you how to earn a Data Science and AI certification, helping you stand out from the crowd when applying for roles in this high-demand field.
This best online Python training path will give you a solid foundation in Python programming for data science and AI, preparing you for certification exams and real-world challenges. This course will boost your confidence to work with this rapidly evolving technology.
Python For Data Science and AI Certification Training Objectives
After this course, attendees will be able to:
- Describe Python's Role in Data Science and AI
- Master Python Basics and Advanced Concepts
- Implement Core Data Science Concepts
- Build and Train Machine Learning Models
- Work with Data Structures and Algorithms
- Leverage AI Frameworks
- Understand and Apply Statistical Techniques
- Develop End-to-End AI and Data Science Projects
Why Learn Python for Data Science and AI in 2025?
Python for Data Science and AI Career Scope in 2025
Is investing time in learning Python for Data Science and AI a smart career move? Absolutely! Data scientists and AI professionals are among the highest earners in the tech industry. This is because Python is widely used across diverse industries—from startups to large enterprises—for building data-driven solutions and AI-powered applications, providing immense earning potential and career stability.
- Python Developer: Build applications, automate tasks, and integrate systems with Python.
- Data Scientist: Design predictive models and analyze datasets using Python.
- AI/ML Engineer: Build machine learning models and AI solutions with TensorFlow and PyTorch.
- Data Analyst: Analyze and visualize data using Python libraries like pandas and Matplotlib.
- Backend Developer: Create scalable server-side applications with Django and Flask.
Python for Data Science and AI Tools and Technologies Covered
Python
Logic Building
OOPs
Jupyter
Code Debugging
Statistics
Machine Learning
AI
NLP
Open AI
GitHub Copilot
Python for Data Science and AI Course Key Features
- 10 Weeks of Intensive Live Training
- Learn from Microsoft MVPs
- Build Data Science and AI Projects
- Career Coaching
- Resume & Portfolio Building
- Job Assistance
Python for Data Science and AI Course Eligibility
Pre-requisites
There are no prerequisites to join the Python for Data Science and AI course. However, having a basic understanding of programming or data concepts can be helpful.
Who can Join?
This course is recommended for any students, beginners and freshers interested in creating end-to-end applications.
Included in this Python For Data Science and AI Certification Training
-
Live Sessions12 Classes
Python for AI/ML
Statistics for AI/ML
- Linear Algebra (Matrices and Vertices)
- Types of Statistics and Data
- Levels of Measurement
- Central Tendency and Dispersion
- Covariance and Correlation
- Probability Density and Distribution
- Bernouli and Poission Distribution
- Uniform Distribution
- Hypothesis Testing
Deep Learning Fundamentals
Introduction to Deep Learning
Artificial Neural Networks (ANN)
- Neural Network Working
Convolutional Neural Networks (CNN)
- CNN Architecture
- ReLU Layer
Recurrent Neural Networks (RNN)
- Building RNN
- Deep Boltzman Machine
Auto Encoders
Machine Learning Fundamentals
Introduction to Machine Learning
Supervised Learning
- Naive Bayes
- Performance
- K Nearest Neighbors
- Boosting
Unsupervised Learning
- Clustering
- K-means
- Hierarchical Clustering
- Apriori
- Eclat
- Singular Value Decomposition
Reinforcement Learning
- Upper Confidence Bound
- Thompson Sampling
Generative AI and GitHub Copilot
- What is Artificial Intelligence?
- What is Generative AI?
- Large language models (LLMs)
- Ethics and biases in AI
- Introduction to Prompt Engineering
- Advanced Prompt Engineering Strategies
- Overview of AI Security Threats
- AI Security Challenges
- What is GitHub Copilot?
- Setting up GitHub Copilot in VS Code
- Configuring GitHub Copilot in Visual Studio
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5-Day Money-Back Guarantee: Our training programs are empowering thousands with expert knowledge - they will you too. If you're disappointed for whatever reason, you'll get your 100% refund. We won't make you beg or invoke any silly rules or conditions – if you're not satisfied within your first 5 days then we'll refund you without any fuss. For full details, please refer to our Refund Policy.
Python For Data Science Certification
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What are the objectives of this Python for Data Science and AI Certification?
Who should take this Python for Data Science and AI Certification course?
What kind of projects are included as part of the Python for Data Science and AI Certification Training?
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Is Python for Data Science and AI Certification worth it?
Our Students Reviews
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Frequently Asked Questions
Q1. Can I Attend a Demo Session before Enrolment?
Yes, you can Attend a Demo Session before Enrolment in angular certification course. It gives you the opportunity to assess whether the training program aligns with your learning objectives. So, don't hesitate! Take advantage of this opportunity and attend a demo session before making your decision.
Q2. Can I request for a support session if I need to better understand the topics?
Yes, of course you can request for a support session if you need to better understand the topics. For that, you need to be in touch with the counsellor. Contact on +91- 999 9123 502 or you can mail us at hello@scholarhat.com
Q3. Who are your mentors?
All our mentors are highly qualified and experience professionals. All have at least 8-10 yrs of development experience in various technologies and are trained by Dot Net Tricks to deliver interactive training to the participants.
Q4. What If I miss my online training class?
All online training classes are recorded. You will get the recorded sessions so that you can watch the online classes when you want. Also, you can join other class to do your missing classes.
Q5. Can I share my course with someone else?
In short, no. Check our licensing that you agree to by using Dot Net Tricks LMS. We track this stuff, any abuse of copyright is taken seriously. Thanks for your understanding on this one.
Q6. Do you provide any course material or live session videos?
Yes we do. You will get access to the entire content including class videos, mockups, and assignments through LMS.
Q7. Do you provide training on latest technology version?
Yes we do. As the technology upgrades we do update our content and provide your training on latest version of that technology.
Q8. Do you prepare me for the job interview?
Yes, we do. We will discuss all possible technical interview questions and answers during the training program so that you can prepare yourself for interview.
Q9. Will I get placement assistance after receiving my course completion certificate?
Yes, you’ll get placement assistance after receiving your course completion certificate. The placement assistance provided by the US will guide you through the job search process, help you polish your resume, and connect you with potential employers. For that, you need to be in touch with the counsellor. Contact on +91- 999 9123 502 or you can mail us at hello@scholarhat.com
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Quick notes
Hands-on labs
Real-world projects
Interview prep