Course Description

Master the Art of Data Analysis and Launch Your Data Science Career

This comprehensive program equips you with the essential skills and knowledge to become a sought-after data science professional.

Through a blend of online modules, live virtual sessions, hands-on projects, and personalized mentorship, you'll gain expertise in data interpretation, machine learning, and powerful programming languages like Python.

By the end of this course, you'll be well-equipped to launch a rewarding career in data science.

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

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Course Content & Modules:

The Data Science is a six month short course, which offers a thorough introduction to the core concepts and practical techniques in data science. The program begins with foundational statistical concepts and data manipulation using Python, and advances to exploratory data analysis, data visualization, and feature engineering.

Participants will gain proficiency in essential machine learning algorithms, including regression, classification, and clustering techniques, as well as methods for model evaluation and validation. The course emphasizes hands-on learning through practical exercises and real-world case studies, allowing participants to apply data science techniques to address business challenges.

By the end of the course, participants will have developed the skills and knowledge required to pursue further study or embark on careers in data science.

Course Duration: 6 Months Certification Course (4 Months Live Sessions and 2 Months Internship)

Tools Covered: Python, Power BI, Excel, NumPy, Pandas, Scipy, Seaborn, MySQL, & more

144

Training Hours

2

Certificates

1

Free Internship

180+

Students

Course Outline

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

Business Intelligence

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

Programming

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

Career Services

Profile Building - GitHub, Blogs, Hackathons
How to boost LinkedIn profile
Career Counselling
Interview Preparation

Career Opportunities

Upon successful completion of this program, you'll be prepared to pursue various exciting careers in data science, including:

Data Analyst
Business Analyst
Data Scientist
Machine Learning Engineer
Data Visualization Specialist

Learners Profile

This program is ideal for enhancing your skills and becoming a valuable asset in the data science field. It caters to:

Recent graduates with a background in computer science, mathematics, statistics, or a related field.
Professionals seeking to upskill in data analysis, machine learning, and programming.
Individuals pivoting their careers towards the booming data science industry.

Course Objectives

Provide a comprehensive introduction to foundational principles and practical techniques in data science.
Develop proficiency in Python programming for data analysis.
Explore essential data science libraries and tools.
Conduct exploratory data analysis and feature engineering.
Apply machine learning algorithms for regression, classification, and clustering tasks.
Understand and implement model evaluation and validation methods.
Gain practical experience through hands-on exercises and real-world case studies.
Acquire the theoretical understanding necessary for further study or careers in data science.

Internships

This program culminates in a 2-month industry internship, providing you with hands-on experience by collaborating with industry leading companies.

During this internship, you'll apply your newly acquired skills, develop a robust portfolio, and enhance your resume, significantly boosting your competitiveness in the job market.

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