+91 88845 88855
info@studyanalytics.in

Python for Data Analytics

Develop the Skills in Analytics with Python Programming!

Classroom Training on Data Analytics Using Python

This Course Addresses the raising demand for skilled data engineers in python, and it covers Python for data analysis from scratches to advanced data engineering, including interacting with leading databases and data wrangling

A Man Working with Tools to depict that Hands-on Classes are Provided with data analytics with Python Skill Course at Study Analytics
Hands-On Classes
Data Warehouse to indicate that real Industry Data will be Provided with hands-on Classes for data analytics with Python Skill Course at Study Analytics
Industry Data
Multiple Domains Across the globe to indicate that workshops from multiple domains are conducted along with data analytics with Python Skill course at study analytics
Group Study
Projects with real industry usecases to indicate that live projects are done alongwith data analytics with Python Skill course at Study Analytics
Live Projects
Study Materials are shared to the candidates when they take up data analytics with Python Skill course at Study Analytics
Study Material Shared
Man thinking in Analytic Mindset to show that the learning pedagogy for data analytics with Python Skill Course at Study Analytics is Easy for the Learner
Easy Learning Pedagogy

Course Highlights

The course duration of data analytics with Python Skill Course at Study Analytics

30 Hrs of Classroom Training + 30 Hours Home Assignments and Project

  • A man working with Python Programming tools to show that Assignments are given per topic with data analytics with Python Skill course at Study AnalyticsAssignments: 70+ Business Problems and SOlutions
  • A computer screen with process and outcome to indicate that projects with real business scenarios are facilitaed along with data analytics with Python Skill course at Study AnalyticsProjects: Business Scenarios and Data
  • Multiple Domains Across the globe to indicate that workshops from multiple domains are conducted along with data analytics with Python Skill course at study analytcisDomains: Multiple- Retail, Online, Sales
  • Two fresh graduates new to Analytics standing hand in hand to indicate the prerequisites for taking up data analytics with Python Skill course at Study AnalyticsClasses: 100% Practice Based

What do you get?

  • In-Class Assignments (Learn while practicing)
  • Live Projects to refine the subject taught (Be experienced)
  • The best practices to build an effective Business dashboard
  • Skills on data processing and business reporting life cycle
  • Most Relevant and Latest Methods in Data Analytics
  • Best Practiced Python Programming Techniques

Prerequisites

Candidates who wants to learn the most advanced coding techniques using python language with basic working knowledge of computers and IT systems with knowledge on SQL and RDBMS.

Two succesful candidates wearing graduation caps after completing data analytics with Python Skill Course at Study Analytics

Course Outcome

Candidate who succesfully completing the course will be familiar with Python programming fundamentals, Data Analytics using Python using different packages and Visualization techniques.

Course Modules

  • Unit 1: Candidates are given with initial introduction to the programming languages. Practical experience of installation and preparing the environment to start with python
    • Why Python
    • Python comparison with other languages
    • Installation and setup
  • Unit 2: A clear understanding of architecture and functionality of scripting language. Kick start of python language starting with basic concepts, handling data structures and OOPS concepts. End of this module candidate will gain experience in python.
    • Architecture
    • First Program
    • Basic Operations , Decision Making
    • Handling Data Structures in python (Lists , Tuples , Dict)
    • Functions and Exception Handling
    • Python classes / Objects
    • Regular Expressions
  • Unit 3: Handling Data in Python
    • Reading Data from text files , csv files.
    • Writing data into csv files , text files
    • Handling json data
    • Data Scraping (HTML , XML)
    • Interacting with Data Bases (Mongo DB, SQL)
  • Unit 4: This module covers data engineering part. Important job of a data analyst is to prepare data and import features out of it. Summarizing data with initial basic descriptive analysis other important part which is covered in this module.
    • Numpy Basics
    • Getting started in Pandas
    • Introduction to Pandas
    • Summerizing & Computing Descriptive statistics
    • Handling missing data
    • Removing duplicates
    • Replacing Values
    • String manipulation
    • Plotting and Visualization
  • Unit 5: Pictures talk more than words. This module covers bringing up the descriptive analysis in the form of graphs. All important graphs which are mostly used in the industry are covered in this module
    • Introduction to matplotlib
    • Plotting function in Pandas
  • Business Usecases: Practical and real world experience is preferred when it comes to programming languages. One use case which covers all the concepts which are learned is given which helps candidates in building their profile.
Note:
The Syllabus can be customized for a Group of Students or Corporates. Reach to us for the customization options as per your institutional requirements

Hear from Our Students

Samuel T
iGATE

An excellent program with efficient trainers and well explained course material for hands on. Worth the money you put in. Special thanks to the trainers for their support throughout the program also for their special lectures.

Rajaram Tangirala
Wipro Ltd.

I feel fortunate to be part of Study Analytics, that I chose the right institute with the right faculty & got a great opportunity, and an amazing hike.

Artham Khetan
Reasearch Analyst, RedSeer

Faculties at Study Analytics are very supportive, and the courses are all hands-on. There is a lot of practical knowledge is provided.

Kiran Mathew
Sales Analyst at NetApp

The amount of work done for the material and exercise is commendable. Classes were enjoyable and knowledgeable making it impossible to bunk!!

Ranjan Kumar Nandi
Solutions Lead, TEG Analytics

The course at Study Analytics is designed in such a way that, every person who enrolls into this course will be confident enough to work on any business problem as well as to clear at least the base SAS certification. And trainers motivate you to learn more and apply your thoughts on solving business cases as well as supports a lot in preparing for certification exams.

Roshan A R
Genpact

Study Analytics made me excel in my new profile. The training for analytics offered by study analytics helped me to enhance my productivity skills which made me become a performer in my team at GENPACT.

Saurabh Sinha
Risk Analyst, Amazon.com

It was a great session regarding banking in Study Analytics. I learned new concepts and process involved in banking. The instructor had excellent knowledge and has explained and cleared all the doubts.

Vishnu Thambi
Amazon India

Study material provided by Study Analytics was really very helpful. The institution really backs you and helps you in finding a good platform to start your career.
Let our experts help you customizing the course for your profile

FAQ

Python can be used to develop different applications like web applications, graphic user interface based applications, software development application, scientific and numeric applications, network programming, Games and 3D applications and other business applications. Python is one of the most Prefered language in Data Analytics and Machine Learning as well
Yes! python is very easy to learn.Python offers extensive library and has excellent readability and uncluttered simple-to-learn syntax which helps beginners to utilize the capabilities of this programming language.

Have a Query?

Reach to Us

#67, Jyoti Nivas College Road, Kormangala 5 th Block, Bengaluru, India
+91-8025502234
info@studyanalytics.in
Request
a Callback