Python Programming masterclass

Number of Hours : 30 Hours

Python for Data Science is a must learn for professionals in the Data Analytics domain. With the growth in the IT industry, there is a booming demand for skilled Data Scientists and Python has evolved as the most preferred programming language. Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.

Prerequisites:

Basic Knowledge of Computers

Courses Objectives:

After the course, you will be able to:

    • Implement Descriptive Statistics for a given Data Set
    • Apply Linear Regression
    • Implement Classification algorithms
    • Have a fundamental understanding of the Python programming language.
    • Acquire the pre-requisite Python skills to move into specific branches – Machine Learning, Data Science, etc.
    • Declaring Variables
    • Conditional Statements
    • Generating Sequence Numbers
    • Control Flow Statements
    • Functions
    • Working with Collections
    • Dealing with Strings
    • Functional Programming
    • Lambda Functions
    • Modules and Packages
    • Working with Data Frames
    • Loading the dataset onto a DataFrame
    • Displaying first few records of the DataFrame
    • Finding metadata of the DataFrame
    • Finding Summary of the DataFrame
    • Slicing and Indexing a dataframe
    • Value Counts and Cross Tabulations
    • Sorting dataframe by column values
    • Creating new columns
    • Grouping and Aggregating
    • Joining dataframes
    • Re-naming columns
    • Applying Operations to multiple columns
    • Filtering Records from Dataframe based on conditions
    • Removing a column
    • Dealing With Missing Values
    • Drawing Plots
    • Bar Plot
    • Histogram
    • Distribution or Density plot
    • Box Plot
    • Comparing Distributions
    • Scatter Plot
    • Pair Plot
    • Correlations and Heatmaps