The Python for Data Science, AI & Development Course. This program is designed to equip you with the skills to master Python programming, data analysis, machine learning, and AI development, while also enabling you to build dynamic applications. You will gain hands-on Unlock the power of Python with our comprehensive experience with essential Python libraries, frameworks, and tools used by industry professionals, preparing you for real-world projects and cutting-edge career opportunities. Whether you are a beginner or looking to enhance your programming expertise, this course bridges the gap between coding fundamentals and advanced applications in data science and artificial intelligence.
Module 1: Introduction to Python Programming Python installation and setup (Anaconda, Jupyter Notebook, Google Colab) Data types, variables, and basic operators Conditional statements, loops, and functions Error handling and debugging.
Module 2: Data Structures & File Handling Lists, tuples, sets, and dictionaries String manipulation and operations Reading and writing files (CSV, TXT, JSON) Data input/output with Python.
Module 3: Data Analysis with Python Introduction to Pandas and NumPy DataFrames and Series operations Handling missing data and data cleaning Aggregation, grouping, and filtering.
Module 4: Data Visualization Matplotlib fundamentals Advanced visualization with Seaborn Plotting line, bar, scatter, and pie charts Customizing plots, themes, and dashboards.
Module 5: Introduction to Machine Learning Supervised vs. unsupervised learning Linear regression and logistic regression Decision trees, random forests, and k-NN Model evaluation metrics (accuracy, precision, recall, F1-score).
Module 6: Advanced Machine Learning Clustering techniques (K-Means, Hierarchical) Dimensionality reduction (PCA) Model optimization and hyperparameter tuning Feature engineering and selection.
Module 7: Deep Learning & AI with Python Introduction to TensorFlow and Keras Neural networks fundamentals Building and training deep learning models Applications in image recognition and NLP.
Module 8: Python for Web & Software Development Introduction to Flask and Django Creating dynamic web applications Backend development and REST APIs Connecting web apps to databases.
Module 9: Data Automation & Scripting Automating repetitive tasks with Python scripts Working with APIs and web scraping Scheduling tasks and workflow automation Real-world project applications.
Module 10: Capstone & Industry Projects End-to-end project integrating Python, ML/AI, and web development Data preprocessing, model building, and deployment Presentation and reporting of insights Hands-on projects aligned with industry standards.
Mobile: 9100348679
Email: coursedivine@gmail.com
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