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Data Science
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Days
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Date
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Course Detail
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Day 1
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9th June 2025
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New age technologies
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Emerging Technologies Overview, Artificial Intelligence and Data Science Trends like Generative AI and Foundation Models (e.g., GPT, DALL·E), AI in Predictive Analytics and Automation, Ethical AI and Responsible Data Use, Cybersecurity Innovations like Zero Trust Architecture and Next-Gen Firewalls, Cybersecurity in IoT and Smart Devices, Real-World Applications and Career Directions
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Day 2
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10th June 2025
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Introduction to Python and its applications
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Basic Python syntax and function, Variables, Data Types, Type conversion and arithmetic expressions, Conditional statements , Functions: defining, calling, parameters, return values
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Day 3
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11-Jun-25
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Advanced and Interesting Topics in Python
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Loops, Nested loops and loop-based pattern printing, Lists: creating, accessing, modifying, looping, Dictionaries: basic usage, storing key-value data, Mini project
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Day 4
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12th June 25
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Introduction Data Science
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Data Science Process: Overview, Defining research goals, Retrieving data, Data preparation , Data Mining, Data Warehousing , Basic Statistical descriptions of Data
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Day 5
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13th June
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Python Libraries for Data Processing
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Collecting, Cleaning, and Validating Data with examples, Basics of Pandas, NumPy , SciPy, Scikit-learn
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Day 6
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16th June
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Python Libraries for Data Visualization and EDA
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Importing Matplotlib – Line plots, Box Plot,Heatmap, Scatter plots,Seaborn, Plotly, Reading dataset, Analyzing the data, Checking for the duplicates, Missing Values Calculation
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Day 7
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17th June
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Machine Learning
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Supervised, Unsupervised, reinforcement learning, Application of Machine learning in various sectors
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Day 8
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18th June
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NLP
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Introduction to NLP and Key Concepts, NLP Techniques and Algorithms, Applications of NLP and Future Trends
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Day 9
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19th June
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Application, Ethics and Security in Data science
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Applications of Data Science, Ethics in Data Science, Security in Data Science, Future of Data Science
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Day 10
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20th June
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Artificial Intelligence
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Introduction to AI and its Foundations, Deep Learning, Applications of AI
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