Who is Data Science Engineer?
Data science - Process of simplifying and separating voluminous data to provide insights.
Data Science is applied in virtually every field including, science and Technology, Politics and Governance, Business and Social work or even climate studies for analysis, decision, strategy, planning and forecast. LinkedIn’s emerging jobs report lists Data Science as fastest-growing job requirement globally, with 650% growth since 2012 and continue grow by another 200% by 2026 with global data science market to touch USD322.9 billion by 2026.India has emerged as 2nd largest job market for data science engineers, with 32% of big data market with additional 11 million jobs to be created by 2026.
Specializing Data Science with gives you head start to begin your career in the sunrise industry as Data Analyst, Business Analyst, or a Data Engineer or BI Developer or Machine Learning Engineer at Salary Level India 6L – 21L per annum India USD 100000/- USD 135,000/- per annum globally
Propel Python DS + ML Course Overview
PROPEL DSE PRO with dual specialization in Python Full Stack Development and Data Science Engineering has been designed to meet the requirements of the software industry for Full Stack Python Web Developer and Data Scientists, Data Analysts and Data Engineers . It prepares candidates to begin their career in this exciting field and develop themselves into successful professionals in Software Engineering or Data Science Engineering. The program focuses on holistic development of the participants.
Keeping this in mind, the designers of the program have given a balanced treatment of different areas such as technology, soft skills, language fluency, behavioural orientations and basic business knowledge. The program enables participants to become professionals who solve real-world problems through the medium of Software and Data Science Engineering.
The total duration of the programme is 100 working days, divided into 8 camps. First 4 Camps in Phase 1 focus building the foundation in Programming, Database and Web Development. Camps 5-8 in the phase to builds on the phase 1 to build your skills Data Science. Each Camp has a major objective, and builds over the learning from the previous one. Multiple assignments, Case studies and project in every camp makes the learning immersive, engaging and transformational for the learners.
Course Content
(Click on each Camp to view its details)
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Participants are given an introduction to the course, expectations and goals to be achieved are set , and commit to develop the knowledge, skills and orientations required to achieve them, taking personal responsibility while working in a collaborative environment.
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Understanding Programming Logic
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Understanding Data Types, Keywords, operators and control constructs in Python
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Exception Handling
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Programming in Python using OOPS Concepts
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Create a simple CRM project
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Defining and manipulating Databases using DDL and DML
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Using commands and functions to manipulate data in database
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Use DQL and different clauses- Where, Order By, Group By, Having
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Using joins to view related/ relevant information from different tables
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Use subqueries
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Work with other objects in Databases (Views, Indexes, Sequences)
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Normalisation of Database
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Normalisation workshop
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HTML, HTML5
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CSS
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Java Script
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Bootstrap
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Responsive Page Design
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MVC and Service Oriented Architecture
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Design web API / REST API following standards
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Write web APIs and connect with DB using ORM
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Write APIs for CRUD operations
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Consume REST API using Javascript and use result in Web UI
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Token based authentication
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Flask App Routing
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URL Building
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HTTP Methods, Templates
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Flask Request Object
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Flask Cookies, Session, File Uploading
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Redirect, Errors, Flashing, Mail Extension
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Flask WT Forms
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Flash SQLAlchemy ORM
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Consume FLASK REST API using Javascript+JQuery and Ajax
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Web Application using REST API workshop
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Final Capstone Project Development
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Final Capstone Project Presentation
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Numpy, Pandas, Data Visualization using Matplotlib, Seaborn, Bokeh, Plotly
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Probability and Statistics for Machine Learning
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Data Pre Processing, Supervised and Unsupervised Machine Learning Algorithms
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Optimization and Web Scrapping
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Numpy, Pandas, Data Visualization using Matplotlib, Seaborn, Bokeh, Plotly
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Probability and Statistics for Machine Learning
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Data Pre Processing, Supervised and Unsupervised Machine Learning Algorithms
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Optimization and Web Scrapping