Empower Your Future with Data Science
In the technology-driven 21st century, data science has emerged as one of the most promising and in-demand career fields. As a high school student, by developing data science skills now you can step into the future empowered with the knowledge and practical abilities to take advantage of the vast opportunities in this field.
Our intensive 8-week virtual Data Science Internship is designed to provide ambitious high school students like you with a comprehensive foundation in data analytics, allowing you to gain real skills and showcase your talents in this cutting-edge domain.
Our virtual internship is led by professional data scientists who will mentor you through real-world projects and data analysis tools.
KEY BENEFITS
You will finish the program with portfolio-worthy work samples that demonstrate your abilities.
Past students of our data science internship have leveraged their new expertise to earn competitive summer internships, get accepted to selective university programs, and even launch their own data-driven tech startups.
CURRICULUM
The course curriculum is geared not just towards technical aptitude, but also toward developing business acumen. You’ll work on case studies from diverse sectors like finance, healthcare, retail, social media and more. Learn how leading organizations leverage data analytics to drive innovation and strategic decision-making.
The demand for data professionals is rapidly growing. Now is the time to invest in learning these high-value skills and set yourself apart. Our data science course will equip you with the right mindset, toolset and skillset to step into the future ready to tackle real-world challenges and make an impact in any industry with data-driven solutions.
Duration
8 WEEKS
VIRTUAL
What Sets us apart?
● Live Sessions
● Tutorials for Projects
● One to One Guidance
● Beginner Friendly
● Learn from the Industry Experts
● Industry based Project
OUTCOMES
Learn about Data Analysis and real world prediction techniques
PROGRAM SCHEDULE
Build an Impressive Portfolio with Real-World Projects
Introduction to Program
01
WEEK
Introduction to MS Excel
02
WEEK
- Introduction with Students
- Walkthrough of the program
- Why this program, why Data Science and Analytics
- Applications of Data in different Industries
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Artificial Intelligence
-
Machine Learning
-
Block Chain
- Job roles associated with Data Science and Analytics
- Introduction to various useful Tools
- Basic Excel functionalities
- Understanding functions
- Exploring INDEX MATCH
- Date functions in Excel
- Introduction to Power Pivots
- Pivot tables essentials
- Applying conditional formatting
- Initiate a simple Excel project
SQL Basics
03
- Fundamentals of SQL
- Operators in SQL
- WHERE,ORDER BY,GROUP BY, HAVING clauses
- Understanding JOINS
- Exploring UNION in SQL
WEEK
Advanced SQL and Window Functions
04
- Window functions: RANK, DENSE_RANK, ROW_NUMBER, LEAD, LAG
- Subquery usage
- Common Table Expressions (CTE)
- Practical application of advanced SQL concepts
WEEK
Advanced SQL and Window Functions
Data Visualisation Project
05
WEEK
06
WEEK
- Introduction to Power BI for data visualisation
- Data Processing and Cleaning
- Data Manipulation
- Integration of Excel and SQL skills
- Report preparation with Power BI
- Hands on experience with industrial data simulation
WEEK
Introduction to Python and Jupyter Notebook
07
WEEK
Business Impact with Data
08
- Basics of Python
- Jupyter Notebook essentials
- Variables and data types in Python
- Overview of data structures: Tuple, List, Dictionary, Set
- Creating a comprehensive data analysis project
- Working on project to understand Google ad data and marketing campaign.
- Sales Data, Visualisation, and Report Preparation.
- Final project presentation and review.
Delve into Data Science
Through interactive live sessions, you’ll gain proficiency in:
Python Fundamentals
Master programming constructs, data structures, and control flow statements to read, manipulate and process data programmatically.
Exploratory Data Analysis
Summarize datasets, perform statistical analysis, and identify patterns and trends through data visualization plots and graphs.
Data Storytelling
Learn to create compelling data visualizations and interactive dashboards to extract powerful insights and communicate data-driven narratives.
Power BI
Learn how to apply Power BI as a tool for Business Decision and Data Visualization models for reports in the real world.
Data Analysis Libraries
Become adept at Pandas, NumPy and other libraries to import, clean, transform and analyze structured and unstructured data.
Machine Learning Models
Understand techniques like regression, classification and clustering algorithms to train ML models on data.
Web Scraping
Harvest your own datasets from websites using Python scripts.
Statistical Analysis & Hypothesis Testing
Apply statistical tests to draw meaningful conclusions from data.
