Data Science with Python Training

Best Data Science with Python Training in Chennai


Troy Infotech offers best Data Science with Python Training in Chennai with most experienced professionals. We aware of the current industry needs and we are offering Data Science with Python Training course in Chennai in more practical way. Our team of Data Science with Python certified trainers offers Data Science with Python Course in Classroom training & Data Science with Python Online Training. We actually framed our syllabus for matching it with the real world requirements which is used by both beginner level & advanced level. Our training will be handled in both the weekdays & weekend’s program depends on student’s requirement.

 

Troy Infotech also offers Data Science with Python Training in Chennai with One-to-One Data Science with Python Training in Chennai. Every topic in this course provided by our Data Science with Python Training institute in Chennai will be covered in mostly practical way with examples. We are the best Training Institute offering certification oriented best Data Science with Python Training in Chennai. Our Data Science with Python Training Course Fees is very less compared to others.

 

Troy Infotech, the Best Data Science with Python Training Institute in Chennai provides Real-time and placement focused Data Science with Python training in Chennai. We are providing the best Data Science with Python Training in Chennai with placement assistance for students including proper Interview guidance.

 

Our team of trainers offers the best Data Science with Python training for students with the real time projects. We framed our syllabus to match with the real world requirements which suits both beginner & experienced professionals. The IT Professionals and Students from India and abroad who are unable to attend regular classes can attend our Data Science with Python online training provided by Troy Infotech from their home in their convenient timings. This Data Science with Python training program by Troy Infotech is basically aimed at educating students about the latest trends in Data Science with Python.

 

Course Description


Python Programming language is the most powerful open source language. It is developed with data science tool and used to simplify & easily access the data and store the data easily. By R Programming language we can easily manipulate the data, which also helps in the analysis of Data. We may create the wonderful visualization which helps to access the high-quality content. This Data Science with Python Training mainly provides you to learn data manipulation and cleaning of data using python.

 

Data Science with Python training at Troy Infotech provides an efficient way to learn the course completely and gain very good knowledge. This training course mainly focus on explaining all the topics by using sample examples for every topic hence allows the beginners to understand the course very easily. Troy Infotech’s Data Science with Python training in Chennai will give you a complete knowledge of Data Science with Python to start your professional career.

 

Course Objective


At the end of this course, you will be familiar & expert with the following learning objectives:

Complete basics of Data Science are learnt.
Understanding the concepts of BigData and able to work in Data mining.
Understanding the usage and how to use the tools like a tableau, map-reduce.
Also, you will get a brief idea of what Python is and touch on the basics.

Data Science with Python Training In Chennai Course Syllabus:


Data Science with Python Course Introduction

  • Course Overview with Data Science

 

Environment Set-Up

  • Environment Set-up and Installation –
  • Setting up of Anaconda, Jupyter, Ipython and install Python.
  • Setting up of an IDE – Option to choose from installing – PyCharm CE or Sublime or
  • VIM or Emacs or VI

 

Jupyter Overview

  • Jupyter Notebooks
  • Optional: Virtual Environments

 

Python Crash Course

  • Introduction to Python Crash Course
  • Python Crash Course Basics
  • Python Crash Course OOPS concepts
  • Python Crash Course Modules
  • Python Crash Course Final
  • Python Crash Course Exercises – Overview
  • Python Crash Course Exercises – Solutions

 

Python for Data Analysis-NumPy

  • Introduction to Numpy
  • Numpy Arrays
  • Quick Note on Array Indexing
  • Numpy Array Indexing and Operations
  • Numpy Exercises Overview and Solutions

 

Python for Data Analysis-Pandas

  • Introduction to Pandas
  • Series
  • Data Frames – Part 1 Introduction
  • Data Frames – Part 2 Organizing
  • Data Frames – Part 3 Set up
  • Missing Data
  • Group by
  • Merging Joining and Concatenating
  • Operations
  • Data Input and Output

 

Python for Data Analysis-Pandas Exercises

  • Salaries Exercise Overview
  • Note on SF Salary Exercise
  • SF Salaries Solutions
  • E-commerce Purchases Exercise Overview
  • E-commerce Purchases Exercise Solutions

 

Python for Data Visualization-Matplotlib

  • Introduction to Matplotlib
  • Matplotlib Part 1 Set up
  • Matplotlib Part 2 Plot
  • Matplotlib Part 3 Next steps
  • Matplotlib Exercises Overview
  • Matplotlib Exercises – Solutions

 

Python for Data Visualization-Seaborn

  • Introduction to Seaborn
  • Distribution Plots
  • Categorical Plots
  • Matrix Plots
  • Regression Plots
  • Grids
  • Style and Color
  • Seaborn Exercise Overview
  • Seaborn Exercise Solutions

 

Python for Data Visualization-Pandas Built-in Data Visualization

  • Pandas Built-in Data Visualization
  • Pandas Data Visualization Exercise
  • Pandas Data Visualization Exercise- Solutions

 

Python for Data Visualization-Plotly and Cufflinks

  • Introduction to Plotly and Cufflinks
  • Plotly and Cufflinks

 

Python for Data Visualization-Geographical Plotting

  • Introduction to Geographical Plotting
  • Choropleth Maps – Part 1 – USA
  • Choropleth Maps – Part 2 – World
  • Choropleth Exercises
  • Choropleth Exercises – Solutions

 

Introduction to Machine Learning

  • Link for ISLR
  • Introduction to Machine Learning
  • Machine Learning with Python

Linear Regression

  • Linear Regression Theory
  • Model selection Updates for SciKit Learn
  • Linear Regression with Python Introduction
  • Linear Regression with Python Deep Dive
  • Linear Regression Project Overview and Project Solution

 

Logistic Regression

  • Logistic Regression Theory – Introduction
  • Logistic Regression with Python –Logistics
  • Logistic Regression with Python –Regression
  • Logistic Regression with Python –Conclusion
  • Logistic Regression Project Overview and Project Solutions

 

K Nearest Neighbours

  • KNN Theory
  • KNN with Python
  • KNN Project Overview and Project Solutions

 

Decision Trees and Random Forests

  • Introduction to Tree Methods
  • Decision Trees and Random Forest with Python
  • Decision Trees and Random Forest Project Overview
  • Decision Trees and Random Forest Solutions
  • Decision Trees and Random Forest Solutions

 

Support Vector Machines

  • SVM Theory
  • Support Vector Machines with Python
  • SVM Project Overview
  • SVM Project Solutions

 

K Means Clustering

  • K Means Algorithm Theory
  • K Means with Python
  • K Means Project Overview
  • K Means Project Solutions

 

Principal Component Analysis

  • Principal Component Analysis
  • PCA with Python

 

Recommender Systems

  • Recommender Systems
  • Recommender Systems with Python – The Foundation
  • Recommender Systems with Python – Deep Dive

 

Natural Language Processing

  • Natural Language Processing Theory
  • NLP with Python
  • NLP Project Overview
  • NLP Project Solutions

 

Big Data and Spark with Python

  • Big Data Overview
  • Spark Overview
  • Local Spark Set-Up
  • AWS Account Set-Up
  • Quick Note on AWS Security
  • EC2 Instance Set-Up
  • SSH with Mac or Linux
  • PySpark Setup
  • Lambda Expressions Review
  • Introduction to Spark and Python
  • RDD Transformations and Actions

Neural Nests and Deep Learning

  • Neural Network Theory
  • Welcome to the Deep Learning Section!
  • What is TensorFlow?
  • Changes with TensorFlow
  • TensorFlow Installation
  • TensorFlow Basics
  • MNIST with Multi-Layer Perceptron
  • TensorFlow with ContribLearn
  • Tensorflow Project Exercise Overview
  • Tensorflow Project Exercise – Solutions

 

Take A Look At Our Data Science with Python Training Course


Real-Time Practical Training

You will get the real-time project experience on our training. We provide more practical training classes preferred by the candidates. Our practical oriented training will inspire all the participants.

Assured Placement Assistance

We are the pioneer in providing the assured placement assistance for the participants after their course completion.

Certified Trainers

Learning made easy by our certified trainers who fulfills the needs of the candidates in that particular course. Your knowledge will be transformed into expertise level by our trainers.

Internship Training

We provide internship training effectively for our participants which are highly helpful for their professional career.

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Frequently Asked Questions


Who can attend the Data Science with Python Training Course?

The following can attend this Data Science with Python course:

  • Analytics professionals those who want to work with Python
  • Software professionals who are looking for a career switch in the field of analytics
  • IT professionals who are interested in pursuing a career in analytics
  • Graduates those who are looking to build a career in Analytics and Data Science
  • Experienced professionals those who would like to harness data science in their fields
  • Anyone more interested in the field of Data Science

Why this Course?

  • Data Science is used by most of the world’s top multinationals.
  • Data Science with Python professionals are actually earning very high salaries when compared with other technologies.
  • With a number of job opportunities in Data Science with Python, the people will get benefited from this Data Science with Python course.

What you will learn?

You will learn & become expert in the following concepts:

  • Complete basics of Data Science are learnt.
  • Understanding the concepts of BigData and able to work in Data mining.
  • Understanding the usage and how to use the tools like a tableau, map-reduce.
  • Also, you will get a brief idea of what Python is and touch on the basics.

What are the Career Opportunities available in Data Science with Python?

The following are the job opportunities you will get:

  • Lead Data Scientist – Python
  • Senior Data Scientist – Python
  • Data Scientist
  • Data Scientist – Python
  • Data Scientist/Analyst – Product

What Are The Pre-Requisites For Learning the Data Science with Python Course?

You don’t need any specific knowledge to learn Python, but a basic knowledge of programming can help.

TROY Course Duration For Data Science with Python Training In Chennai

  • Fast Track Training Program (6+ hours daily)
  • Regular Classes (Morning, Day time & Evening)
  • Weekend Training Classes (Saturday, Sunday & Holidays)

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