Python for Data Science and AI: From Novice to Expert

Introduction:

This 5-day intensive training program by Global Business Minds LTD (GBM) empowers individuals to harness the power of Python for data analysis, machine learning, and artificial intelligence. Participants will gain a comprehensive understanding of Python programming, data manipulation, visualization, and advanced modeling techniques.

Training Goals:

By the end of this program, participants will be able to:

• Master Python programming fundamentals for data science applications
• Explore data exploration and visualization techniques using Python libraries
• Implement various machine learning algorithms and evaluate their performance
• Build and deploy predictive models for real-world problems
• Apply Python for natural language processing and computer vision tasks

Training Outline:

Day 1: Python Fundamentals for Data Science

• Introduction to Python programming
• Data structures (lists, tuples, dictionaries)
• Control flow statements
• Functions and modules
• NumPy for numerical computations

Day 2: Data Manipulation and Exploration with Pandas

• Introduction to Pandas library
• Data ingestion and cleaning
• Data exploration and visualization with Pandas and Matplotlib
• Feature engineering and selection

Day 3: Machine Learning with Scikit-learn

• Introduction to machine learning concepts
• Supervised learning algorithms (linear regression, logistic regression, decision trees, random forests)
• Unsupervised learning algorithms (clustering, dimensionality reduction)
• Model evaluation and selection

Day 4: Deep Learning with TensorFlow/Keras

• Introduction to neural networks and deep learning
• Building and training neural networks
• Convolutional Neural Networks (CNNs) for image processing
• Recurrent Neural Networks (RNNs) for sequential data

Day 5: Natural Language Processing (NLP) and Advanced Topics

• Introduction to NLP and text preprocessing
• Text classification and sentiment analysis
• Language modeling and generation
• Big data processing with Python (PySpark)

Targeted Audience:

• Data analysts
• Data scientists
• Machine learning engineers
• Software developers with an interest in data science
• Students and researchers in related fields

By the end of this training, participants will have a strong foundation in Python programming and be equipped to apply data science and AI techniques to solve real-world problems.