About This Course:
The global data science platform market is growing due to advancements in big data technologies, a focus on gathering and analyzing data for decision-making, and an increase in dependence on machine learning.
The adoption of data tools and technologies is contributing to business growth across the globe. The number of jobs requiring Data Science skills is expected to grow by 27.9% by 2026, according to the US Bureau of Labour Statistics.
As businesses continue to rely on the power of data, the need for skilled data scientists is also increasing.
Data Science Architect Program
With the rising demand for data science professionals, Encryptic security is pleased to introduce the job-assurance Postgraduate Program in Data Science and Analytics.
Featuring custom learning modules, this 6-month program will help you learn data science and analysis from the ground up.
The program helps learners to master Data Science and write complex Machine Learning algorithms to solve real-world business problems.
Internship Experience:
The program includes a six-month internship, allowing participants to apply their knowledge in real-world scenarios, gain hands-on experience, and enhance their practical skills under the guidance of industry experts.
Basic Programming
The module covers the basics of programming for non-programmers. Learn programming concepts and implement those concepts to write efficient code. Get introduced to Lists and OOPS concepts.
What will you achieve?
- Build a solid foundation for programming
- Practice coding skills with 20+ coding questions
Topics
- Introduction to Programming
- Variables & Arithmetic Expressions
- Functions
- Data Types
- Conditions & Conditional statements
- Lists
- OOPS
CORE TRACK
EXCEL
The module covers the basics of Excel for data science. Learn Excel essentials to get a strong hold on using Excel for data analysis. Get introduced to pivot tables, formulae and charts.
What will you achieve?
- Build a strong foundation of Excel for data analysis
- Summarise data with pivot tables and charts
Topics
SQL
The module introduces learners to SQL programming. Learn how to query data from databases and create datasets for data analysis.
What will you achieve?
- Build a strong foundation of SQL for data querying
- Create datasets for data analysis
Topics
Python Programming
The module introduces the learners to Python programming. Work with multiple Python data science libraries to execute essential tasks like mathematical calculations, data manipulation, etc. Learn data visualisation with Python.
What will you achieve?
- Master Python programming
- Run data analysis process using Python libraries
- Create useful charts for data visualisation
Topics
Statistics for Data Science
The module introduces the learners to statistics. Review, analyse, and draw conclusions from data. Apply quantified mathematical models to appropriate variables for data analysis
What will you achieve?
- Build a strong statistics foundation
- Analyse data and draw conclusions using statistics
- Implement mathematical models for data analysis
Topics
Machine Learning
The module introduces the learners to machine learning and explains how different ML algorithms work. It also covers the optimisation of models and model tuning. Get a complete understanding of how organisations are applying ML to solve their problems and grow the business.
What will you achieve?
- Learn machine learning algorithms & their applications
- Analyse data and make predictions
- Solve real-world business problems using ML
Topics
Data Visualisation with Tableau & Power BI
The module covers data visualisation with two popular business intelligence tools - Tableau and Power BI. Create charts to articulate data and present insights to the business. Learn to showcase a data-based story to the stakeholders.
What will you achieve?
- Master data visualisation with Tableau
- Master data visualisation with Power BI
- Create meaningful dashboards for the business
Topics
Specialisation 1 - Advanced ML Track
This module focuses on preparing the learners for placement based on their capability and performance during the course. Work on multiple projects with Project Mentor to sharpen your ML skills. Learn big data analytics with Hadoop & spark to enhance your profile.
What will you achieve?
- Sharpen ML skills through projects
- Learn big data analytics with Hadoop
- Execute machine learning with Spark
Topics
Specialisation 2 - Data Analytics & ML Track
This module focuses on preparing the learner for placement based on their capabilities and performance during the course. Work on multiple projects with a Project Mentor to sharpen your data analytics and ML skills. Learn big data analytics with Hadoop & Spark to enhance your profile.
What will you achieve?
- Sharpen ML skills through projects
- Learn big data analytics with Hadoop
- Execute machine learning with Spark
Topics
Capstone Project
Build a data science project on your own by applying the learning from the bootcamps. Learn planning the project and implementing it successfully. Present your project to a team of evaluators from the industry and get valuable feedback. Add the project to you GitHub project portfolio.
What will you achieve?
- Learn to plan a data science project
- Solve a real-world problem using data science
- Gain confidence on your skills by presenting the project to industry experts
Topics
Career Services
Prepare for interview opportunities by polishing the key skills. Get support to create your digital profile and resume. Sharpen your interview skills through interview preparation workshops and expert- based mock interviews. Resolve your career-related queries through a mentorship session. At the end of the module, you will be ready for real interviews.
What will you achieve?
- Build an exciting resume and digital profile for recruiters
- Sharpen your interview skills with mock interview sessions
- Resolve any career-related queries to have clarity and confidence
Topics
Material Includes
- Practice Labs
- Paid Tools
- Hack the Box/Try Hack me
- Paid Tools
- Videos
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