Modi Training Institute

DATA SCIENCE

DATA SCIENCE

DATA SCIENCE

Module 1: Introduction to Data

  • Selecting rows/observations
  • Rounding Number
  • Selecting columns/fields
  • Merging data
  • Data aggregation
  • Data munging techniques aggregation
  • . Data munging techniques

Module 2: Introduction to python

  • What is Python?
  • Why Python?
  • . Installing Python
  • Python IDEs
  • Jupyter Notebook Overview

Module 3:Python basics 

  • Python Basic Data types
  • . Lists
  • Slicing
  • IF statements
  • Loops
  • Dictionaries
  • Tuples
  • Functions
  • Array

Module 4: Python packages

  • Pandas
  • Numpy
  • Sci-kit Learn
  • Mat-plot library

Module 5 : IMPORTING DATA

  • Reading CSV files
  • Saving in Python data
  • Loading Python data objects
  • Writing data to CSV file

Module 6 : AI (ARTIFICIAL INTELLIGENCE )

  • Perceptron
  • Multi-Layer perceptron
  • Markov Decision Process
  • Logical Agent & First Order Logic
  • AL Applications

Module 7 : TABLEAU

  • Tableau course content
  • Learn tableau basic reports
  • Learn tableau charts
  • Learn tableau advance reports
  • Learn Tableau Calculations & Filters
  • Learn Tableau Dashboards
  • Server

Module 8 : SQL

  • Introduction to database
  • Retrieve Data using the SQL SELECT Statement
  • . Restrict and Sort Data
  • Usage of Single-Row Functions to Customize Output
  • Invoke Conversion Functions and Conditional Expressions
  • Aggregate Data Using the Group Functions
  • Use Subqueries to Solve Queries
  • The SET Operators
  • Data Manipulation Statements
  • Use of DDL Statements to Create and Manage Tables
  • Management of Schema Objects

Module 9 : Power BI

  • Introduction of power bi
  • Transforming Data
  • .Modeling Data
  • Visualization
  • . Dax function
  • Advance Dax function
  • Dashboard

Module 10 : R language

  • introduction to r programming
  • R programming for data science
  • r programming basics
  • data structure in r
  • r programming fundamentals
  • working with data in r
  • strings and dates in r
  • data science with r programming
  • data visualization
  • classification
  • clustering

Module 11:MongoDB

  • installation and introduction
  • data modeling
  • mongoDB operator's
  • mongoDB crud
  • mongoDB shell
  • mongoDB tool

Duration: 12 Months
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