4.8
Master Data Science with Practical Tools and Real-World Projects
Are you curious about how machines learn from data but find AI technologies too complex to understand? Nexskill's AI Data Science & Machine Learning course teaches you Python libraries like Numpy, Pandas, and Matplotlib for data analysis, plus advanced Machine Learning and Deep Learning concepts. You'll master Neural Networks, Natural Language Processing, and Generative AI through hands-on projects and expert-led sessions.
15K+
Data Science Success Stories
Lifetime
Content Validity
2
Virtual Internship
Created by: NeXskill
Added Benefit
Gain hands-on experience with major AI tools and receive expert career guidance to boost your professional journey.
Unlock premium features and resources to accelerate your journey
Master Python programming and data analysis techniques.
Build predictive models with scikit-learn and TensorFlow.
Create insightful visualizations with Matplotlib and Seaborn.
Learn statistical methods and data preprocessing techniques.
Rated 4.9/5 by 47,715+ learners worldwide!
Instructor
Data Science Instructor
Teaches machine learning, data analysis, and Python.
Python Programming for Data Science
Statistics & Probability for Data Analysis
Data Manipulation with Pandas & NumPy
Data Visualization (Matplotlib, Seaborn, Plotly)
Machine Learning Fundamentals & Algorithms
Deep Learning with TensorFlow & PyTorch
Natural Language Processing (NLP)
Big Data Analytics with Apache Spark
Cloud Platforms (AWS, Google Cloud, Azure)
MLOps & Model Deployment
Capstone Project & Portfolio Development
Python Programming for Data Science
Module 1
Statistics & Probability for Data Analysis
Module 2
Data Manipulation with Pandas & NumPy
Module 3
Data Visualization (Matplotlib, Seaborn, Plotly)
Module 4
Machine Learning Fundamentals & Algorithms
Module 5
Deep Learning with TensorFlow & PyTorch
Module 6
Natural Language Processing (NLP)
Module 7
Big Data Analytics with Apache Spark
Module 8
Cloud Platforms (AWS, Google Cloud, Azure)
Module 9
MLOps & Model Deployment
Module 10
Capstone Project & Portfolio Development
Module 11
📅 Schedule: 2 Interactive Sessions Per Week
Total Lectures: 48 | Duration: 2 hours each
Showing first 20 lectures of 21 total sessions
Complete schedule available after enrollment
Students interested in data analysis and machine learning
Professionals transitioning to data-driven roles
Business analysts looking to upskill in analytics
Software developers exploring AI/ML career paths
Fresh graduates seeking high-demand tech skills
Entrepreneurs wanting to leverage data for business growth
Master Python programming for data science applications
Perform statistical analysis and hypothesis testing
Build and deploy machine learning models
Create compelling data visualizations and dashboards
Work with big data tools and cloud platforms
Develop end-to-end data science projects
Get certified by Nexskill with job placement support
Industry-experienced data science instructors
Hands-on learning with real datasets and case studies
Career guidance and job placement assistance
Latest tools and cloud platform access
Flexible payment plans and scholarship opportunities
Active alumni network and mentorship programs
6600 learners have created their portfolio websites
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