Python Training

i2tutorials provides the best Data Science training helps you to excel your skill on  of data acquisition, project life cycle, deploying machine learning and statistical methods

You will be working on real time projects that have high relevance in the corporate world, step by step assignments and curriculum designed by industry experts. Upon completion of the training course you can apply for some of the best jobs in top MNCs around the world at top salaries.

i2tutorials offers lifetime access to videos, course materials, 24/7 Support, and course material upgrading to latest version at no extra fees.

Hence it is clearly a one-time investment.

i2tutorials provides the best Data Science training helps you to excel your skill on  of data acquisition, project life cycle, deploying machine learning and statistical methods

You will be working on real time projects that have high relevance in the corporate world, step by step assignments and curriculum designed by industry experts. Upon completion of the training course you can apply for some of the best jobs in top MNCs around the world at top salaries.

i2tutorials offers lifetime access to videos, course materials, 24/7 Support, and course material upgrading to latest version at no extra fees.

Hence it is clearly a one-time investment.

Module 1

Introduction to Python Programming

  • Introduction to Data Science
  • Introduction to Python
  • Basic Operations in Python
  • Variable Assignment
  • Functions: in-built functions, user defined functions
  • Condition: if, if-else, nested if-else, else-if

Module 2

Data Structure – Introduction

  • List: Different Data Types in a List, List in a List
  • Operations on a list: Slicing, Splicing, Sub-setting
  • Condition(true/false) on a List
  • Applying functions on a List
  • Dictionary: Index, Value
  • Operation on a Dictionary: Slicing, Splicing, Sub-setting
  • Condition(true/false) on a Dictionary
  • Applying functions on a Dictionary
  • Numpy Array: Data Types in an Array, Dimensions of an Array
  • Operations on Array: Slicing, Splicing, Sub-setting
  • Conditional(T/F) on an Array
  • Loops: For, While
  • Shorthand for For
  • Conditions in shorthand for For

Module 3

Basics of Statistics

  • Statistics & Plotting
  • Seabourn & Matplotlib – Introduction
  • Univariate Analysis on a Data
  • Plot the Data – Histogram plot
  • Find the distribution
  • Find mean, median and mode of the Data
  • Take multiple data with same mean but different sd, same mean and sd but different kurtosis: find mean, sd, plot
  • Multiple data with different distributions
  • Bootstrapping and sub-setting
  • Making samples from the Data
  • Making stratified samples – covered in bivariate analysis
  • Find the mean of sample
  • Central limit theorem
  • Plotting
  • Hypothesis testing + DOE
  • Bivariate analysis
  • Correlation
  • Scatter plots
  • Making stratified samples
  • Categorical variables
  • Class variable

Module 4

Use of Pandas

  • File I/O
  • Series: Data Types in series, Index
  • Data Frame
  • Series to Data Frame
  • Re-indexing
  • Operations on Data Frame: Slicing, Splicing (also Alternate), Sub-setting
  • Pandas
  • Stat operations on Data Frame
  • Reading from different sources
  • Missing data treatment
  • Merge, join
  • Options for look and feel of data frame
  • Writing to file
  • db operations

Module 5

Data Manipulation & Visualization

  • Data Aggregation, Filtering and Transforming
  • Lamda Functions
  • Apply, Group-by
  • Map, Filter and Reduce
  • Visualization
  • Matplotlib, pyplot
  • Seaborn
  • Scatter plot, histogram, density, heat-map, bar charts

Module 6

Linear Regression

  • Regression – Introduction
  • Linear Regression: Lasso, Ridge
  • Variable Selection
  • Forward & Backward Regression

Module 7

Logistic Regression

  • Logistic Regression: Lasso, Ridge
  • Naive Bayes

Module 8

Unsupervised Learning

  • Unsupervised Learning – Introduction
  • Distance Concepts
  • Classification
  • k nearest
  • Clustering
  • k means
  • Multidimensional Scaling
  • PCA

Module 9

Random Forest

  • Decision trees
  • Cart C4.5
  • Random Forest
  • Boosted Trees
  • Gradient Boosting

It is not that you are require to be a ph.D. or Master Degree holder to learn the Data Science.

To learn the Data Science you must be with atleast a Bachelor’s Degree in computers or statistics or you must be a person with minimum programming background who has interest to work Python and R programming languages.

Project#1: Movie Dataset

Industry: Entertainment Industry

Description: The goal of this Use-Case is to explore the movie dataset, given the parameters like: “duration”, “movie title”, “gross collection”, “budget”, “title year”, etc.  

  • Know top ten movies with the highest profits.
  • Know top rated movies in the list and average IMDB score.
  • Plot a graphical representation to show number of movies released each year.
  • Group the movies into clusters based on the Facebook likes.
  • Group the directors based on movie collection and budget.

FAQ’s

All instructors working with i2tutorials are Industry Experts with 8-15 years real time experience.

If you are interested to attend the Demo session. Just call us @ or contact us here. We will schedule the demo for you.

No Worries !! we will record the training session and provide you the recorded video of missed session. Just contact our support team. They will help you to get the video.

You need a personal laptop with high speed internet and quality headset for proper audio. GotoMeeting or WebEx meeting link will be sent to your email from which you could connect the training session.

Yes, Once after the course completion, you can avail this by calling our support team. They will connect you to the proper team to help you in Resume Preparation.

They will a mock interview session that will be setup by the support team. Where they will assess and give you the feed back about your performance and tips for improvement to handle the interviews. Apart from that, you can get the interview questions and answers from our web portal. The link will be shared by the trainer or the support people.

We will provide you the awareness about the opportunities and market analysis for a particular technology and guide you the way to excel in your career.

We are completely into trainings by providing you best and expert trainers. we are not into placement assistance.