Bestseller
Bestseller
The Data Science program is designed to build strong analytical, programming, and machine learning skills required in today’s data-driven industry. This course combines advanced coding, data analysis, visualization, and modern AI techniques to help learners move from fundamentals to real-world data science applications. Through practical projects and hands-on exercises, students learn how to collect, process, analyze, and transform data into meaningful insights and intelligent solutions.
Develop strong programming foundations using advanced Python concepts. Topics include functions, object-oriented programming, file handling, error handling, automation, and writing efficient, scalable code for data science workflows.
Learn core data structures such as arrays, stacks, queues, linked lists, trees, and graphs along with algorithmic thinking. Focus on problem-solving, optimization techniques, and improving code performance for real-world applications.
Understand business intelligence and data visualization using Power Query and Power BI. Students will learn data transformation, dashboard creation, interactive reports, and storytelling through data visualization for professional reporting.
Work with powerful Python libraries including NumPy, Pandas, Matplotlib, and Seaborn to clean, transform, analyze, and visualize datasets. Learn exploratory data analysis (EDA), statistical insights, and effective data presentation techniques.
Explore both supervised and unsupervised learning approaches. Topics include data preprocessing, encoding, vectorization, feature engineering, model training, evaluation techniques, and working with multiple machine learning algorithms for prediction and pattern discovery.
Gain exposure to modern AI technologies including ANN, CNN, RNN, LSTM, GRU, and an introduction to Large Language Models (LLMs). Learn how neural networks are built, trained, and applied in real-world AI systems such as image processing, sequence prediction, and intelligent automation.
Objective: Build strong coding skills required for data science and AI.
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Objective: Improve logical thinking and coding efficiency.
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Objective: Develop business intelligence and visualization skills.
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Objective: Learn data cleaning, analysis, and visual storytelling.
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Objective: Understand core machine learning concepts and workflows.
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Objective: Learn neural networks and modern AI systems.
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