Data Science 2020-04-07T07:11:41+00:00

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Data Science

Data Science course offered by VYOAM is for graduates and career professionals looking to build their career in data science & analytics. Candidates from the course are able to transition to roles such as business analysts, data analysts, data engineer, analytics engineer etc. by learning relevant data science techniques, tools and technologies and hands-on application through industry case studies.

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Video-Course Description

Key Features

  • Gain experience with handson exercises

  • Instructor led training

  • Flexibility of learning in class or online

  • Industry exposure – Use Cases

  • Learn by doing – Assignments, Tasks

  • Curriculum – par with Industry

  • Innovative Approach – Discussions, Quiz, webinar

  • Project Based Learning Approach

  • Capstone Projects

  • Solutions for your skill gaps

  • Upskilling and Level Setting

  • Dedicating mentoring sessions from industry experts

  • Career Support

  • Industry valued Certificate

Schedule

BatchModeTimeFee
Weekends/ WeekdaysOnline Training
Instructor Led
FlexibleINR 30000/-
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Weekends/ WeekdaysClassroom TrainingFlexibleINR 25000/-
Call/ Whatsapp

9841557655

Prerequisite : Python

Curriculum

  • Numpy: Introduction
  • Numerical operations on Numpy
  • Pandas: Getting started with pandas
  • Data Frame Basics, Key Operations on Data Frames,
  • Review on Matrix Operations and Linear Algebra
  • Sci-py: working with Scipy
  • Scatter Plot, Line Chart, Histogram
  • Bar Chart, Box plot, Heat Map
  • Pair plot, scatter Matrix using Matplotlib
  • Pandas Vizualization, Seaborn
  • Statistics: Measuring central tendancy,
  • Variance, Inferential Statistics
  • Probability Distributions: Gaussian, Poisson Bernouli, Binomial, Uniform, Exponential
  • Hypothesis Test: P test, t test, z-score, Chi-square test, ANOVA
  • Time Series, Down sampling,
  • Resampling, Upsampling
  • Time deltas
  • Time series forecasting with AR, MA, ARMA and ARIMA
  • Multivariate Time Series
  • Working with Different File formats – CSV, JSON, PDF, binary format, HDF5
  • Interacting with data in Sql-Pysql with MysqlDB
  • Interacting with data in Nosql -pymongo with MongoDB
  • Data Cleaning
  • Getting Started with Data Mining
  • Affinity analysis
  • Recommender Systems
  • Prediction Analysis
  • Capstone Project – I
  • Capstone Project – II

Tools Covered

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