Data Science Bootcamp

Data Science Bootcamp is a 4-week program designed to provide students with a solid foundation in Python programming, data analysis, and visualization. Throughout the program, students attend engaging online lectures and participate in online lab sessions to complete assignments and practice their skills. In the final week, students will collaborate on a capstone project, where they will apply their knowledge to a real-world problem and present their findings during the culmination day event.

Program content

Acquire basic of python programming skills
Grasp essential statistical concepts relevant of Data Science
Learn the Pandas library for data exploration
Utilize Seaborn for data visualization
Dive into real-world through case studies for analysis

Program highlight

Fundamental Python programming skills
Advanced data analysis using Pandas
Expertise in data cleaning methods
Proficiency in data visualization strategies
Practical case studies and hands-on assignments for reinforcement

Who can join?

High school students (9th – 12th grades) in the 2024-25 academic year
Students with a keen interest in data and strong analytical abilities
Students with proficiency in advanced-level mathematics
Students with basic understanding of programming concepts

$600

From: July 8 - Aug 2, 2024
Sessions: Mon to Fri
Start Time: 5:00 PM PST, 8:00 PM EST
Duration: 2 hrs
Culmination Event: Aug 2, 2024

Sample Schedule

A teacher led course day will be followed by a lab session where students will work on hands-on programming assignments that are based on what was learnt on the previous day.

Week 1	Jul 8 - Jul 12	Students will gain insights into data science and its various real-world applications. Students will be introduced to fundamental Python programming, including data types, conditional statements, branching, and Python data structures such as Lists and Tuples. Students will practice and apply what they learned through hands-on-lab sessions.
Week 2	Jul 15 - Jul 19	Students will explore fundamental statistical concepts such as mean, median, mode, range, standard deviation, normal distribution, and correlation coefficients. Students will delve into the Python Pandas library for data manipulation and cleaning, mastering skills in handling csv. files, data modification, sorting, querying, and basic inferential statistics. Students will practice cleaning and data manipulation using Jupyter Notebooks in the hands-on-lab.
Week 3	Jul 22 - Jul 26	Students will learn data visualization using the Seaborn library, focusing on essential techniques for creating graphs, charts, and plots. Emphasis will be placed on best practices for visualization of data, facilitating a deeper understanding of the data patterns.
Week 4	Jul 29 - Aug 2	In the last week, students will embark on a capstone project, applying their learned skills to a given dataset for data manipulation and visualization. The students will present their analytical findings on the culmination day.

Earn a certificate

Earn a completion certificate that will be validated by DIYA Research

FAQs

Who can join this program?

Any high school student (incoming 9th – 12th grades) who has completed Algebra 2 can join this program. Bring your analytical skills and a curiosity to explore the field of Data Science.

I do not intend to pursue higher education in computer science or related field. Will this program benefit me?

Definitely! Data Science skills can benefit anyone who wants to make informed decisions based on data. These skills can enhance your critical thinking, problem-solving, and communication abilities, which can be helpful in any area of life. By using data to inform your decisions, you can increase your chances of making the right choices. Data Science requires you to approach problems logically and analytically, helping you to be more analytical, logical, and effective in any career or personal pursuit. So, even if you don’t plan to pursue higher education in computer science or related fields, developing Data Science skills can still be valuable for your personal and professional growth.

I have no programming background. Can I apply?

Yes! You do not need to know programming to analyze data though programming skills helps. There are multitude of tools that can be used for data exploration, analysis and visualization. Analytical thinking, basic algebra and statistics, and a lot of curiosity and enthusiasm is all you need to join the program.

Are these sessions live and synchronous?

Yes! All sessions are online (i.e. live) and synchronous through Zoom.

Who are the teachers?

Our faculty members are experts from academia and industry with real world experience in the field of Data Science.

Can I register now and withdraw later?

Yes, you can register now and withdraw before July 1, 2024. However, a service fee of $50 will be applied and the remaining balance will be refunded. Withdrawal requests after July 1, 2024 will be reviewed on a case by case basis and may be subject to a partial refund.

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