Python for Data Science with Microservices | Online Course

Python for Data Science is the essential module for the Data Science and Machine Learning. We have designed this course for the data science enthusiasts who want to start their career in data science domain. As such there is no prerequisite to join this course, however if you have programming background it will be add on. We start from the basic programming in python and cover the advance concepts needed for the data science.

It is the live instructor led session so you can ask your doubts during the class itself or we also schedule the separate sessions for the doubt clarification for each topics.

Course Duration:

15 to 20 Days based on students interaction during the live session

1 hour daily using online gotomeeting

Course Fee: 2000 INR

Prerequisites:

No, we start from the very basic.

Topics covered in this module

Python development environment setup

Getting Familiar with Important Libraries and Python way of coding

  • Python Data Structures
    • Lists and Tuples
    • Sets
    • Dictionaries
  • Programming Fundamentals
    • Conditions and Branching
    • Loops
    • Functions
    • Objects and Classes
  • Working with Data in Python
    • Reading files with open
    • Writing files with open
    • Loading data with Pandas
  • Numpy
  • Pandas
  • scipy
  • Matplotlib
  • Plotly

Python Data Analysis

  • Loading data from different file format
  • Understanding variables and data types
  • Statistical measures
    • Central Tendencies
    • Variability and spread
  • Separating Numerical and Categorical variables
  • Understanding distribution of features
  • Outliers identification and treatment
  • Handling missing values
    • For Numerical Variables
    • For Categorical Variables
  • Visualization
    • Uni-variate Analysis
    • Bi-variate Analysis
    • Multivariate Analysis

Python Data Wrangling

  • Merging
  • Concatenating
  • Grouping
  • Aggregating
  • Reading data from RDBMS
  • Python, SQL and Pandas Data frames

Python Flask Introduction

Quick guide to create a web interface using flask. Using web interface user provides input to the Machine Learning models for the prediction.

Here you will learn how to use:

  • Bootstrap 4.0
  • JQuery Integration
  • Ajax Call
  • Flask
  • End point API creation

Python FastAPI Introduction (Faster than Flask)

  • How to create the microservices using FastAPI
  • Flask vs FastAPI

Please feel free to contact us by filling the below contact form.

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