Affiliated to National Board of Vocational Training Education, Government of India.
Affiliated to National Board of Vocational Training Education, Government of India.
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Data Mining with Python

9,000.00

Data Mining with Python covers all the theories and provides practical exposures that help you grasp the subject and become an expert in this domain. Data Mining is a fast-growing domain as we are generating a lot of data every day. There are many opportunities for people with in-depth knowledge of data mining.

  • IBM® & IABAC® Certification
  • 3-Month Course
  • 5 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance
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Python is the most popular programming language for Data Science as of Today. Python is a powerful, easy to learn, and flexible tool for coding Data Science and Machine Learning algorithms. In recent years, Python has evolved immensely with respect to the Data Science sphere, with a huge community around Python creating quite a few power data science and analytics packages such as Pandas, Numpy, Scikit Learn, Scipy, and more. As a result, analyzing data, modeling machine learning algorithms with Python has never been easier.

This course “Data Mining with Python”, is designed for candidates with or without programming skills, with the basics of Data importing and Data mugging along with effective programming techniques. This also includes the Python Data Science challenges kit, enabling the candidates to not only understand Python core concepts but also gain practical mastery over Data Mining with Python, which is very much in demand in Today’s Data Science job opportunities.

Data Mining with Python Course Module

  • Programming Basics
  • Python Data Types
  • Structures and conditional statements
  • Python core packages
  • Introduction to Jupyter Notebook
  • Data Science Introduction
  • Data Science work flow
  • Machine Learning Overview
  • Basic Statistics and Exploratory Analysis
  • Descriptive summary statistics with Numpy
  • Summarize continous and categorical data
  • Outlier analysis
  • Overview NumPy
  • NumPy Arrays
  • Selecting and Slicing
  • Boolean Indexing
  • Array advanced operations
  • NumPy Key Methods
  • Overview Pandas
  • Loading data from external sources
  • Access Data from DataFrame
  • Pandas Key Methods
  • Introduction to Numpy and Pandas
  • Data filtering and selecting
  • Find duplicates and treating missing values
  • Concatenate and transform data

Data Mining with Python - Course Objectives

The objective of this course is to provide the fundamentals of Python programming and introduce Data Science concepts and Machine Learning.

  • Python Fundamentals: Understanding Python syntax, data types, operators, conditional statements, functions. Writing simple Python scripts for Data Science
  • Data Science essentials: Understand the core concepts of Data Science. Data exploration, data mugging, data pre-processing and transforming Data for further analysis. Gain familiarity with Python packages Numpy and Pandas
  • Python for Machine Learning(ML): Understand core concepts of Machine Learning and practice simple ML algorithms using Python package Scikit Learn

Course Prerequisites

This course is at the beginner level, so most Data Science aspirants can opt for Data Mining with Python

  • Basic Programming is recommended
  • Basic Statistics knowledge is recommended

Why Data Mining with Python Course?

Python is the most popular programming language in Machine Learning and Deep Learning algorithms as on Today. A quick search in indeed.com reveals about 50,000 open job opportunities in the USA alone as a day average in the year 2017 for Python professionals. This trend is only going to increase exponentially in the year 2018 to 2020, aligning to 3 million Data Science job opportunities by 2020 as estimated by IBM Inc.

This course is designed to imbibe the best practice programming skills in Data Mining with Python with real-world Machine Learning case studies. Candidates pursuing this course will be aligned with the current market job requirements.

Who should do this course?

Any professional aspiring to become a Data Scientist can start from this course.

  • Candidates wanted to pursue Data Science career, with basic or no programming skills
  • Seasoned conventional programmer aiming to gain basic machine learning coding skills
  • Job seekers, pursuing a career as Data Science Developer
  • Professionals, whose job involves Data Science and Python.

Advantages of Data Mining with Python Course.

In recent years, Python gained popularity as the preferred language for Machine Learning and Deep Learning. This course provides the advantage of cutting the complexity of Python Language and focuses on learning Data Mining with Python in the most efficient and effective manner to become a Python Data Science developer.

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