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Data Science Professionals are in Demand

Learn Data Science course: Classrooms and Instructor-Led Online sessions.

  Machine Learning is changing complete environment of our work.

   200,000 Trained Data Scientists Shortage in India – The Hindu .

   190,000 Data Scientist shortage by 2018 in US alone. – McKinsey.

   Data Scientist is an impressive $116,000 Salary – Glassdoor.

   Data scientists are one of the highest paid professionals in the technological industry .

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Python for Data Science

Python has become one of the most popular, dynamic, programming language in the world of computer programming.
Python is basically a scripting language, which is easy to learn and quick to code in form of scripts.
Python is also very popular amount mathematicians and data analysts. It is an open source tool – free to install along with community support.
This course will introduce you to python and how to use it for statistical data analysis, Data Management, and Data Visualization.
This course would also take you to the steps involved before analysing it like Data import, Data Preparation & Transforming the data.

Key Highlights

  • Basics of Python for Data Analysis, Libraries & Data Structures.
  • Introduction to Pandas, Data Wrangling with Pandas.
  • Plotting and Visualization.
  • Statistical Data Modeling.
  • 10+ years experienced faculties.
  • Wide coverage of the most prominent tools into Data Analytics.
  • The focus would be on exercises, real-time scenarios, hands-on practice
  • Case study approach to better understand and implement.
  • Real-time practices would be handled during the session.
  • Weekend classes -helps you to learn while earning.
  • Certification preparation assistance.
  • 100% Placement assistance

Course Coverage

An overview of basic and intermediate Pandas, demonstrating how effectively panda manipulates datasets in memory. You will have hands-on experience on indexing, alignment, join/merge methods, date/time types,
and handling of missing data.

Another part of this course will cover plotting and visualization using  Pandas and Matplotlib, focusing on creating effective visual representations of your data, statistical data modeling using some of the advanced functions in Numpy, Scipy, and Pandas.

R for data Science1Course Coverage

This course helps you to Analyze data to learn insights and prescribe action Learn quantitive skills Structure the data, Coding & work on every stage of Data life cycle

Duration: 30 Hours

R for Data Science Professionals

Brief Description

R for data Science Course is designed for the aspirants who want to become “Data Science Professional” can join this course. This training covers all the major topics related to analytics used in data science using R, Like Descriptive Statistics, Probability, Regression, cluster analysis, decision Tree, Random forest and XG-Boost. The R data Science course is designed and delivered by Industry professionals.

This training will help students to be able to tackle a data science problem from scratch and build predictive models on the data.

Key Highlights

  • Introduction of Datascience with R, Measures of Central Tendency
  • Basics of probability, Hypothesis testing, Anova
  • The practice of all topics covered on R.
  • Univariate Regression, multiple linear regression, Logistics regression
  • Regularization, Cluster analysis & Decision tree
  • 10+ years experienced faculties
  • Wide coverage of the most prominent tools into Data Analytics
  • The focus would be on exercises, real-time scenarios, hands-on practice
  • Case study approach to better understand and implement
  • Real-time practices would be handled during the session
  • Weekend classes -helps you to learn while earning
  • Certification preparation assistance
  • 100% Placement assistance

Certified Advanced Datascience Professional

Brief Description
Our Certified Advanced Data Science Professional program provides a  strong foundation in data analytics by bringing together a diverse body of knowledge from applied statistics, applied mathematics, computer science, optimization, consumer behavior, risk management, operations research and decision theory. Students will use data science training to solve real problems in finance, marketing, accounting, and scientific applications. Being one of the best data science courses in the world,  our program will help you learn and explore knowledge analytics,  including analytics methods and models, systemic use of analytics,  data sources, the “soft/human/non-quantifiable” aspect of learning,
as well as privacy and ethical considerations in deploying analytics.

Key Highlights

  • 10+ years experienced faculties.
  • Wide coverage of the most prominent tools into Data Analytics.
  • The focus would be on exercises, real-time scenarios, hands-on practice.
  • Case study approach to better understands and implement.
  • Real-time practices would be handled during the session.
  • weekend classes -helps you to learn while earning.
  • Certification preparation assistance.
  • 100% Placement assistance.

advanced data Science professionalCourse Coverage:

Learn Essential Statistics for Data Science, R for  Data Science, Text Analysis using R, Predictive Analytics, Machine Learning.

Duration: 115 Hours

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