Post Graduate Diploma in Data Science using Python

We Deliver both Classroom & Online Sessions

Eligibility: BE, B.Tech, ME, M.Tech, MCA
Duration: 5 Months

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PG Diploma in Data Science using Python is a 5 months job oriented professional course, providing strong knowledge & proper understanding on Data Science.

We, at Cranes, provide training in all the relevant disciplines to enable the engineers to develop Java based application that meets industry standards.

At Cranes, we provide the students with an organized framework to enhance their technical skills & knowledge curve. The sessions are well planned and delivered with examples to make the lectures more interesting and understandable. Our aim is to create more robust knowledge representations in the students' minds.

PG Diploma in Data Science using Python modules:

Data Science using Python training course syllabus structured in-terms of modules to help students for better understanding of the subject. Which are listed below.

Foundation in Programming & Database

  • Relational Database - MySQL
  • NoSQL - Mongo DB
  • Web Technology - HTML, CSS, Java Script
  • Python Programming
  • Advanced Python & Unit Testing

Data Science Specialization

  • Statistics
  • Data Analysis & Visualization using Pandas and Matplotlib
  • Data Visualization with Tableau
  • Machine Learning using SKlearn
  • Deep Learning using Tenser Flow
  • Cloud Computing

Placement Support:

Guaranteed Placement is available at cranes campus for those who complete the Java training successfully.

Relational Database - SQL - 40 Hrs

  • Introduction to databases and RDBMS
  • Joins in SQL and working examples
  • SQL set based operations and data aggregation
  • Sub-queries in SQL
  • Database creation, concept of relation
  • Querying tables: Select statement
  • Insert, Update, Delete operations
  • Normalization and de-normalization
  • Creating tables
  • Filtering, Sorting, Predicates
  • Scalar functions in SQL
  • SQL programming

Web Technology - HTML, CSS, Javascript - 40 Hrs

  • Introduction to Web
  • Introduction to HTML, Tables
  • Introduction to CSS 3, Java Script
  • Alerts, Console, Functions
  • Introduction to HTTP
  • Building blocks of HTML
  • Forms, CSS selectors, Variables
  • Data Types, DOM parsing,Validation
  • Client & Server, HTML tags
  • Form Validation, CSS Types
  • Conditional Statements
  • Objects, String, Arrays, RegEx

Cloud Computing - 20 Hrs

  • Introduction To Cloud Computing
  • Management Console, Amazon Web Services Or AWS
  • EBS(Elastic Block Storage),VPC
  • Types of Cloud
  • Card Configuration
  • EBS volumes and Snapshots
  • Virtualization
  • Creating S3 Bucket
  • RDS

Python Programming - 40 Hrs

  • Introduction to Python
  • Defining Functions
  • Set and Dictionary
  • Python Data types and Conditions
  • List and Tuple
  • Exception Handling
  • Control Statements
  • List Comprehension
  • File Handling

Advanced Python and Unit Testing - 40 Hrs

  • Object Oriented Programming
  • Multiprocessing
  • SQLite
  • Overloading Operator
  • Multi threading
  • Testing Fundamentals
  • Inheritance
  • Regular Expression
  • Unit Testing using PyTest

Mathematics and Statistics for Data Science – 20 Hrs

  • Logarithm
  • Standard Deviation
  • Descriptive and Inferential Statistics
  • Mean, Median, Mode
  • Percentile
  • Log Normal Distribution
  • Mean Absolute Deviation
  • Normal Distribution and Z Score
  • Visualizing Data

Data Analysis and Visualization - 40 Hrs

  • NumPy
  • Slicing of Matrices Filtering
  • NumPy Functions across axis
  • Vectorization
  • Array Creation
  • Stacking of arrays
  • Broadcasting
  • Functions
  • Matrix Calculation
  • Pandas Series
  • Pandas Dataframe
  • Working with Categorical Data
  • Sorting DataFrames
  • Creating graphs using Matplotlib
  • Scatter Plot, Line Graph
  • Data Cleaning
  • Selection Data (loc, iloc)
  • Grouping & Aggregation
  • Importing csv files
  • Customizing Plots
  • Bar Graph, Histogram
  • Handling Missing Data
  • Filtering DataFrames
  • Merging DataFrame(concat, merge)
  • Importing Excel Files
  • Saving Plots
  • Subplots

Machine Learning - 40 Hrs

  • Understand what is Machine Learning
  • Regression
  • Training and Testing Data
  • Classification
  • Decision Tree Classifier
  • Supervised Learning
  • Linear Regression with Single Variable
  • Handling Categorical Data
  • Logistic Regression – Binary classification
  • Support Vector Machine
  • Unsupervised Learning
  • Multiple Linear Regression
  • K-Fold Cross Validation
  • Logistic Regression – Multiclass classification
  • KNN Classifier

Mongo DB – 20 Hrs

  • NoSQL vs RDBMS
  • Querying Database
  • Advantages & Disadvantages of MongoDB
  • MongoDB Administration
  • Database Creation

Tableau - 28 Hrs

  • Tableau Introduction
  • Connect Tableau with Different Data Sources
  • Tableau Calculations using Functions
  • Traditional Visualization vs Tableau
  • Visual Analytics
  • Building Predictive Models
  • Tableau Architecture
  • Parameter Filters
  • Dynamic Dashboards and Stories

Deep Learning using TensorFlow - 40Hrs

  • Introduction to Deep Learning
  • Deep Neural Networks
  • Convolutional Neural Networks
  • Learn to setup a ML problem with NN
  • Forward Propagation
  • Recurrent Neural Network
  • Shallow Neural Networks
  • Backward Propagation
  • Computer Vision

Platforms

  • Anaconda Distribution (Jupyter Notebook)
  • Tableau
  • MYSQL
  • Mongo DB
  • Google Colab
  • AWS

Data Science Projects

  • Predicting Home Prices
  • Predicting Credit Card Approvals

Hiring Partners

  • HCL Technologies
  • Collins Aerospace
  • Automotive Robotics
  • Tech Mahindra
  • Mahindra Electric
  • Continental
  • Quest Global
  • Verifone
  • Autoliv
  • Harman
  • Alpha Design Technologies
  • GE Healthcare
  • Graphene Semiconductor
  • Honeywell
  • Robert Bosch
  • Park Controls & Communication
  • Safran Engineering Services
  • Sasken Communication
  • Tata Elxsi
  • Dexcel Electronics
  • American Megatrends India
  • Maxvega Networks
  • L & T Technology
  • Easun Reyrolle
  • Microsemi India
  • Vinfinet
  • Brigosha Technologies
  • Sharp Software
  • Renault Nissan Technology

Embedded Systems Design Training Calendar

Program Name Start Date Duration
ITAP- Post Graduate Diploma in Data Science using Python October - 20th 5 months