Certified SAS Professional

DATA ANALYTICS WITH PYTHON

Course Description

Data Analytics with Python is the new arena of modern data analytics. We here at Codec Networks will ensure that you are not left behind in this fast moving world of Data Analytics.

Python is a general-purpose programming language that is becoming more and more popular for doing data science. Companies worldwide are using Python to harvest insights from their data and get a competitive edge. Unlike any other Python tutorial, this course focuses on Python specifically for data science. In our Intro to Data Analytics with Python class, you will learn about powerful ways to store and manipulate data as well as cool data science tools to start your own analysis. Enroll with Codec Networks’ course to get started with Data Analytics with python.

Who Should Attend

This course is intended for learners who have basic python or programming background and want to apply Data Analytics using statistics, machine learning, information visualization, social network analysis and text analysis techniques to gain new insight into data. The training is delivered in a tutorial format using the pandas, Numpy, Scipy etc. libraries and only a minimal statistics background is expected; and first course contains a refresh of these basic concepts. There are no geographic restrictions. Learners with a formal training in Computer Science but without formal training in data science will still find the skills they acquire in these courses valuable in their studies and careers.

Modules Covered

  • Introduction to Data Analytics with Python.
  • Python Essentials
  • Scientific Distribution used in Python for Data Science
  • Accessing/Importing Data and Exporting Data using Python modules
  • Data Manipulation-Cleaning & Munging using Python modules
  • Data Analysis-Visualization Using Python
  • Introduction to Statistics
  • Introduction to Predictive Modelling
  • Data Exploration for Modelling
  • Data Preparation
  • Segmentation-Solving Segmentation Problem
  • Model Development.
  • Linear Regression, Logistic Regression: Solving Classification Problems.
  • Time Series Forecasting: Solving Forecasting Problems.
  • Supervised & Unsupervised Learning.
  • Survey Data Analysis
  • Financial Data Analysis.
  • Medical Data Analysis.
  • Text Mining and Analytics
  • Report Development
  • Project

Course Duration

  • Fast Track: : 10 Days (8 Hours/Day)
  • Regular Track: : 8 Weeks (2.5 Hours/Day)
  • Weekend Track : 12 Weekends (3.5 Hours/Day)

Post Training Program (CODEC Networks Specialty)

  • Project Work
  • Extensive Classroom Training
  • Internship Opportunity with experts and R & D team
  • Placement Assistance **
  • Discount Vouchers up to 10 - 15% for further training

Package Includes

  • Weekly Assignments, Reference codes & Study material in PDF format
  • Module-wise Case Studies/ Projects
  • Career Guidance & Career Support
  • The completion of some selected assignments & case studies
  • Training certificate from CODEC Networks

Course related details

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Course related details

  • Pre-Course Technical Evaluation
  • Hand-Over Labs & Practical's Checklist for Review
  • Classroom Evaluation Tests
  • Candidate Wise Reporting & Post Assessment
  • Certificate of Excellence from Codec Networks
  • Live Project Work

Contact us

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