Data Science

In today’s data-driven world, the ability to interpret and analyze complex datasets is crucial. Our Data Science program is designed to equip you with the essential skills and knowledge needed to excel in this dynamic field.

This comprehensive course covers fundamental concepts and practical techniques, from basic statistical analysis to advanced machine learning algorithms. Through a blend of online modules, interactive live sessions, hands-on projects, and personalized mentorship, you will gain expertise in programming with Python, data visualization, and data interpretation.

Our teaching approach ensures you not only learn theoretical aspects but also apply your skills through real-world case studies. By the end of this course, you’ll be ready to embark on a rewarding career in data science, armed with the skills to tackle complex data challenges and drive strategic decision-making.

Course Prerequisites

A basic understanding of mathematics and computer science concepts is recommended.

Course Duration

• Total Duration: 6 months
• Live Sessions: 4 months
• Internship: 2 months
• The Course Contains: Interactive modules, live virtual sessions, hands-on projects, and personalized mentorship.

Course Outline

Module 1: Data Analytics

• Emerging Technologies and Basics of Data Science
• Data Analysis using Microsoft Excel
• Data Wrangling and Analysis with SQL
• Effective PowerPoint Presentation
• Capstone Project: Build a report using Excel & SQL
• Statistics for Data Science

Module 2: Business Intelligence

• Data Visualization and Storytelling using Microsoft Power BI
• Capstone Project: Creating an interactive Power BI Dashboard

Module 3: Programming

• Python 3 Programming
• Data Analytics Using Python
• Machine Learning using Python
• Capstone Project: Build a machine learning model using Python

Module 4: Career Services

• Profile Building – GitHub, Blogs, Hackathons
• How to Boost LinkedIn Profile
• Career Counselling
• Interview Preparation

Tools Covered

You will gain experience with tools such as:

• Python
• Power BI
• Excel
• NumPy
• Pandas
• Scipy
• Seaborn
• MySQL
• And more

Learning Outcomes (Course Objectives)

By the end of this course, you will:

• Master foundational principles and practical techniques in data science.
• Gain proficiency in Python programming and essential data science libraries.
• Conduct exploratory data analysis and feature engineering.
• Apply machine learning algorithms for regression, classification, and clustering.
• Understand model evaluation and validation methods.
• Develop a strong portfolio with practical experience in data science.

Internship

The program includes a 2-month internship, providing you with valuable industry experience. Work on real-world data science projects, apply your newly acquired skills, and build a strong portfolio to enhance your resume.

Career Opportunities

Upon successful completion of this program, you’ll be prepared for careers such as:

• Data Analyst
• Data Scientist
• Machine Learning Engineer
• Business Intelligence Analyst
• Data Engineer
• Data Architect
• Analytics Consultant
• Research Scientist
• Quantitative Analyst
• AI Specialist

Learners Profile

This program is ideal for:

• Recent graduates with a background in computer science, mathematics, statistics, or related fields.
• Professionals seeking to enhance their skills in data analysis, machine learning, and programming.
• Individuals looking to pivot their careers towards the growing field of data science.

Aspire Advantage!

• Expert Instructors: Learn from industry professionals who bring real-world experience to the classroom.
• Comprehensive Learning: Benefit from a structured approach with live sessions, hands-on projects, and personalized mentorship.
• Flexible Learning: Study at your own pace with recorded sessions and manageable weekly commitments.
• Dedicated Support: Receive timely assistance from our team throughout your learning journey.
• Real-World Projects: Apply your skills in practical settings through industry projects during your internship.
• Career Guidance: Get expert help with resume building, interview preparation, and exploring career opportunities.