Executive Diploma in Data Science

Executive Diploma in Data Science for Professionals

Hours   Total: 240 Hrs Instructor   Instructional: 140 Hrs Project   Project: 60 Hrs
Assignments   Assignments: 40 Hrs Hours   2 hrs/per day Language   English
Hours Total:
240 Hrs
Instructor Instructional:
140 Hrs
Project Project:
60 Hrs
Assignments Assignments:
40 Hrs
Hours 2 hrs/per day
Language English
Live

Live

Instructor Led Program

Case

Workshop

For hands-on learning

projects

Projects

From real world scenarios

Certification

Certification

Widely recognized by the industry

I'm a

 Hand

Course Overview

The business landscape today is brimming with technological developments where we discover unlimited data on a daily basis around us. At this juncture, data science is detrimental for all data-driven decisions and business strategies across all spectrums. This Executive Diploma course in Data science will help you handle, manage, analyse and interpret data, and more. With engaging live sessions and interactions, it will be an immersive learning experience with data.

Data has emerged as the new global token and currency and to become a sought-after professional across all business sectors, you will have to equip your data driven skills and be industry ready. This program will help you build a strong foundation in business decision making with the help of in-demand data science tools and techniques. Advance your career in data science now with an industry-recognized certificate.

Program Fee   $2999
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    Schedule on demand

Learning Outcome

  • Understanding the tools and techniques employed in Data science and machine learning
  • Learning to navigate the Hadoop ecosystem
  • Ingesting data using various tools
  • Implementing machine learning algorithms with an in-depth understanding of data structure and data analysis.
  • Performing data frame operations in Spark using SQL queries.
  • Grasping the basics of Data Science life cycle and understanding Github, R and Cloud technologies
  • Implementing partitioning, bucketing and indexing in Hive, along with learning how to optimize the Hadoop ecosystem
  • Performing Data scrapping and Data Processing using PIG and Spark
  • Getting started with Deep Learning in Cognitive analysis

Syllabus

Module 01 Complete Introduction to Python Programming
  • Introduction to Python
  • Standard Library Functions
  • OOPS concepts
  • Graphical User Interface
  • Networking-Client and Server Program

Hands-On Assignments - 10 Hours

Module 02 Python for Data Science and Advanced Data Analytics
  • Introduction to data visualization tool
  • Advanced visualization tools
  • Plotly library
  • Plotly advanced
  • Creating maps and visualizing geospatial data

Hands-On Assignments - 10 Hours

Module 03 Machine Learning with Python
  • Introduction to Machine Learning
  • Classification algorithm
  • Unsupervised learning algorithm
  • Regression algorithm
  • Recommender System

Hands-On Assignments - 10 Hours

Module 04 Course on Artificial Intelligence
  • Introduction to Artificial Intelligence
  • Learning basic statistics and probability theory
  • Introduction to Python Programming, Tensor flow
  • Introduction to machine learning, Supervised algorithm for AI problem
  • Supervised algorithm for AI problem, Decision Tree
  • Introduction to OPEN-CV, Library and packages to use for image and video processing, Concept of image segmentation in AI
  • Introduction to NLP(nltk), Text mining using NLP
  • Text mining processes (tokenizer, stemming, lemmatization, pos, syntax, chunking etc)
  • Understanding various components of Neural Networks
  • Keras, Theano, Tensor Flow - Installation, Introduction to Keras, Theano, Tensor Flow.
  • K-means clustering, Case Study

Hands-On Assignments - 10 Hours

Module 05 Course on Hadoop and Spark
  • Fundamentals of Hadoop and the ecosystem around it
  • Working on HDFS, MapReduce, Hive, PIG, and more
  • Working alongside Avro Data formats
  • Understanding Spark, Spark SQL, Data frame and other Spark writing applications
  • Processing RDD in Apache Spark and real time data

Hands-On Assignments - 10 Hours

Module 06 Essentials of SQL
  • Introduction
  • Data Definition Language (DDL), Data Manipulation Language (DML), Data Control Language (DCL), Data Query Language (DQL) and Transaction Control Language (TCL)
  • Constraints
  • Other essential clauses, and operators
  • Working with Multiple tables

Hands-On Assignments - 10 Hours

Module 07 Advanced Data Visualization with Tableau
  • Visual Analytics
  • Data Visualization
  • Tableau Prep Builder tool
  • Tableau UI components
  • Geographic Visualizations in Tableau
  • Building Dashboards and Stories within Tableau

Hands-On Assignments - 10 Hours

Syllabus

Module 01 Python for Data Science and Advanced Data Analytics
  • Introduction to data visualization tool
  • Advanced visualization tools
  • Plotly library
  • Plotly advanced
  • Creating maps and visualizing geospatial data

Hands-On Assignments - 10 Hours

Module 02 Machine Learning with Python
  • Introduction to Machine Learning
  • Classification algorithm
  • Unsupervised learning algorithm
  • Regression algorithm
  • Recommender System

Hands-On Assignments - 10 Hours

Module 03 Course on Artificial Intelligence
  • Introduction to Artificial Intelligence
  • Learning basic statistics and probability theory
  • Introduction to Python Programming, Tensor flow
  • Introduction to machine learning, Supervised algorithm for AI problem
  • Supervised algorithm for AI problem, Decision Tree
  • Introduction to OPEN-CV, Library and packages to use for image and video processing, Concept of image segmentation in AI
  • Introduction to NLP(nltk), Text mining using NLP
  • Text mining processes (tokenizer, stemming, lemmatization, pos, syntax, chunking etc)
  • Understanding various components of Neural Networks
  • Keras, Theano, Tensor Flow - Installation, Introduction to Keras, Theano, Tensor Flow.
  • K-means clustering, Case Study

Hands-On Assignments - 10 Hours

Module 04 Course on Hadoop and Spark
  • Fundamentals of Hadoop and the ecosystem around it
  • Working on HDFS, MapReduce, Hive, PIG, and more
  • Working alongside Avro Data formats
  • Understanding Spark, Spark SQL, Data frame and other Spark writing applications
  • Processing RDD in Apache Spark and real time data

Hands-On Assignments - 10 Hours

Module 05 Data Science using R
  • Introduction to R Programming
  • Interpret Dataset with Packages
  • Fundamentals of Statistics & Probability
  • Data Visualization
  • Data Distribution & Correlation
  • Classification - KNN, Naïve Bayes
  • Decision Tree, Random Forest
  • Text Mining, WordCloud
  • Forecasting / Time Series

Hands-On Assignments - 10 Hours

Module 06 Mastering in MongoDB
  • Mastering MongoDB-based application development
  • Design MongoDB database from start to finish
  • Knowing when and where to use MongoDB in your application development
  • Spot key features and advantages of NoSQL database MongoDB over RDBMS databases
  • Differentiate between RDBMS and NoSQL databases
  • Building and running applications

Hands-On Assignments - 10 Hours

Module 07 Advanced Data Visualization with Tableau
  • Visual Analytics
  • Data Visualization
  • Tableau Prep Builder tool
  • Tableau UI components
  • Geographic Visualizations in Tableau
  • Building Dashboards and Stories within Tableau

Hands-On Assignments - 10 Hours

Guided Projects

Calculating the traction power for an ICE vehicle and simulating using MATLAB

10 Hrs

Developing a motor model with control algorithm for a given EV drive requirement

10 Hrs

Study and implementation of cell balancing algorithm using Simulink Optimization

10 Hrs

Develop a Simulink model of a DC motor using ODE

10 Hrs

Calculate the Lateral forces on tires and Rolling, Aerodynamic Resistances of vehicle

10 Hrs

Design and Develop the BLDC motor with the given parameters

10 Hrs





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