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Python Data Science Training
Original price was: Rs 35,000.00.Rs 28,999.00Current price is: Rs 28,999.00.
Course Content
Module 01 – Introduction to Data Science using Python
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What is Data Science, what does a data scientist do
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Various examples of Data Science in the industries
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How Python is deployed for Data Science applications
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Various steps in Data Science process like data wrangling, data exploration and selecting the model.
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Introduction to Python programming language
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Important Python features, how is Python different from other programming languages
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Python installation, Anaconda Python distribution for Windows, Linux and Mac
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How to run a sample Python script, Python IDE working mechanism
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Running some Python basic commands
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Python variables, data types and keywords.
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Hands-on Exercise – Installing Python Anaconda for the Windows, Linux and Mac
Module 02 – Python basic constructs
Module 03 – NumPy for mathematical computing
Module 04 – Pandas for Data manipulation
Module 05 – Data visualization with Matplotlib
Module 06 – Maths for DS-Statistics & Probability
Module 07 – Machine Learning using Python
Module 08 – Supervised learning-Linear Regression
Module 09 – Supervised learning-Logistics Regression
Module 10 – Unsuperwised Leaning And K Means Clusturing
Module 11 – Hire Clustering And Dimention Reduction
Module 12 – Time Series Forecasting
Module 13 – OOPs in Python (Self-paced)
Module 14 – Python integration with Spark (Self-paced)
Class Recordings – One on One Training
About Course
Python with Data Science is a dynamic field combining the power of Python programming with the insights of data science. Python’s simplicity and versatility make it the go-to language for data analysis, visualization, and machine learning. Data scientists leverage Python libraries like Pandas, NumPy, and Matplotlib to manipulate and visualize data, while Scikit-Learn and TensorFlow facilitate machine learning tasks. With Python, data scientists can extract valuable insights from vast datasets, build predictive models, and automate complex data-driven processes. This fusion of Python and data science empowers professionals to solve real-world problems, make data-driven decisions, and drive innovation across various industries.
