Advanced Certification in Python, Data Analysis, Visualization & Machine Learning

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Course Outline

Part-1

Python Crash Course: 8 Sessions

A. Data Structure

    • List
    • Tuples
    • Sets
    • Dictionary

B. Methods & Functions

    • Lambda
    • Map & Filter

C. OOPS Concepts

Part- 2

Data Analysis- 8 Sessions

    • Numpy
    • Pandas
    • Projects using A & B

Part-3

Data Visualisation- 16 Sessions

    • Matplotlib- Exercises and Projects
    • Seaborn
    • Pandas in-built Visualisation
    • Plotty & Cufflings
    • Geographical Plotting
    • Projects using Analysis and Visulisation

Part-4

Core Machine Learning – 16 Sessions

    • Intro to ML
    • Linear Regression
    • Cross Validation & Bias Variance Trade-off
    • Logistic Regression
    • K Nearest Neighbour
    • Decision Trees & Random Forests
    • Support Vector Machines (SVM)
    • K means Clustering
    • Principal Component Analysis (PCA)
    • Recommender Systems
    • Projects

Advanced Certification in Python, Data Analysis, Visualization & Machine Learning

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OBJECTIVE OF THE COURSE
REQUIREMENTS AND PREREQUISITES FOR THE COURSE
Outcome