Data science with Python Training

What is Data science?

Data science is a combination of statistics, data analysis, machine learning and many other methods to understand and analyse the data to get valuable insights. It uses techniques and ideas from various fields such as mathematics, information science, and computer science (Databases, machine learning etc). It is often used in business analytics to gather business intelligence and make informed business decisions. The Harvard Business Review called it “The Sexiest Job of the 20th Century” in their report in 2012 (report here) and it made a buzzword.

What is Python?

Python is one of the popular high-level general-purpose programming languages in use right now. It was created by Guido van Rossum and first released in 1991. It is an open source software and has a community based development model with Python Software Foundation being the community. The two important features of Python are code readability and the syntax. Code readability is simply the use of white space in the place of braces to make the code easily readable by a human eye. Its syntax needs fewer lines of code than all other programming languages. And Python is used in various domains such as web applications, internet scripting, database, and gaming.

Why to enrol in Data Science in Python Training at Trishana Technologies, Bangalore?

Data science and Python are separate domains on their own and it takes a skilled and experienced training institute to properly and timely deliver a course that includes both these technologies. And Trishana Technologies in HRBR Layout, Bangalore is that institute for you. If you want proofs, then you can view our placement record and know how successful and achieving our training is. Our syllabus covers the basis of both these technologies before concentrating on the use of Python in Data science. The study materials are also prepared according to the syllabus and are updated often to improvise and to include the latest developments. We have carefully selected the trainers who have extensive experience in using Python in Data science and also have very good teaching skills. Our computer lab has state-of-the-art systems with all the tools required to train the students in Data science with Python. We have sophisticated equipment like Projectors with an internet connection and Video-conferencing kits to teach our students better. We also provide a free internet connection to our students and help them learn from the Internet after the class hours. We also provide a far-sighted and calculative placement care program which includes classes on English and Communication skills by experts in those fields. The placement care also includes Resume preparation sessions and mock interviews to prepare our students in all the areas. We will ensure that our students are capable of getting a job on their own before arranging the recruitment drives. At last, all our students will get their appointment letter before leaving Trishana Technologies, Bangalore.

Our Data science with Python Training syllabus

Software Setup Instructions

  • Installation and Instruction

A Crash Course in Python Part 1

  • Data Types
  • Strings in Python
  • Variables and values
  • Boolean Types
  • Loops and decision Making
  • Functions

A Crash Course in Python Part 2

  • Iteration
  • Example
  • Data time Library
  • Bucketing Library

Getting data from the Internet Part 1

  • Getting data from internet
  • JSON
  • XML
  • Google API

Getting data from the Internet Part 2

  • Beautiful soap
  • Log in to web server

Database Basics

  • Basics
  • Normalization

Database Basics: SQL

  • SQL Integration with Python
  • Working across multiple Tables

Data Analysis and Visualization: Part 1

  • Numpy Intro
  • Numpy with Analytics
  • Pandas Introduction
  • Pandas Data Reader
  • Google Finance Data
  • Time Series Analysis

Data Analysis and Visualization: Part 2

  • Data Cleaning
  • Data Visualization

Data Analysis and Visualization: Part 2

  • Sentiment Analysis
  • Word Cloud
  • Text analysis
  • Topic Modelling

Analysis of Networks

  • Introduction to Network Analysis
  • Construct a simple Network
  • Graph Drawing
  • Network Analysis Algorithm

Machine Learning with Python I

  • Classification algorithm
  • Regression
  • Assignment

Machine Learning with Python II

  • K NN Algorithm
  • Construct a simple Network
  • Clustering
  • Assignment

Final Project

Career opportunities in Data science with Python

  • Data Scientist - Python
  • Data Science Analyst with Python skills
  • Data Science Engineer
  • Business Analyst - Python
  • Data analyst - Python
  • Python Developer - Machine Learning