INTRO TO INT C COURSE

Join Our Intermediate Data Science Course

Introductory to intermediate data science programming course for those who want to advance their careers in data science.

Course Overview Intermediate Data Science

This intermediate level course is designed to equip learners with practical skills and knowledge to advance their careers in data science. It covers essential topics data cleaning, data manipulation, regression, classification, visualization, analysis, and communication. Learners will achieve intermediate competency in Python, understand frameworks and database design, and grasp basic design patterns, all while honing their debugging skills in Jupyter Notebooks.

Upon completing this course, learners will master sorting and search algorithms, array manipulation, and establishing SQL connections for executing simple queries. They will achieve intermediate competency in Python, understand how frameworks operate, and gain a solid grasp of database design and management. Students will also learn and apply basic design patterns, enhance their debugging skills in Jupyter Notebooks, and complete large, end-to-end data science projects independently.

This course is NOT for:

Beginners, people learning to code
High schoolers

We’d recommend this course for: Industry professionals, data professionals looking to expand into data science, Bootcamp grads, Computer Science grads, Anyone with a basic foundation in Python.

Required Pre-requisites

Use the command line, use an IDE

Use Git, and in a group setting with mains, branches

Intermediate to advanced coding skills in a mid to low level language

Some previous professional development experience preferred

Must be competent and confident in at least one other mid or low level programming language (Javascript, Python, HTML/CSS and other high-level languages don’t count)

Extensive technical interview, resume, and profile training/resources

Find the Course Option that Works For You

Full-time and part-time and flexible pathway options available remotely.

Anytime Self-Paced Upskill

Study on your own schedule, at your own pace, fast or slow. No attendance requirements and no deadlines.

Up to 6 months
No meetings

START DATES
Start anytime

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Part-time Professional Flex

Study on a part-time basis with somewhat flexible options on course meetings.
No project deadlines.

6 months
Saturday meetings

START DATES
5 • 25 Mar 2025

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Part-time OR Full-time Intensive Bootcamps

Study full-time or part-time in a highly structured intensive bootcamp. Attendance is required and projects have deadlines.

3 or 6 months
Tues/Thurs or Mon - Fri meetings

START DATES
21 Jan 2025 • 25 Mar 2025

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Join a specific cohort Virtual meetings 1-3x per day, Learn in a community 100% hands-on learning Accountability & motivation.
Stack courses back to back OR take breaks between courses Duration estimates are based on back-to-back courses

Intermediate
Data Science Course Curriculum

What you’ll cover throughout your learning journey.

Data Science I Intermediate

Cover intermediate statistics

Use Python to complete mathematical operations and visualizations of data

Use Pandas and MatPlotLib

Understand and practice data manipulation, including formatting and structuring for use

Implement the basic data lifecycle: load, process, visualize, analyze

Statistical Programming in Python Intermediate

Complete multiple projects that require data scraping, data storage, and data processing

Display and visualize data, with a focus on learning to communicate findings with non-technical audiences

Convert between database types, SQL & CSV

Merge two ugly databases

Introduction to Machine Learning Intermediate

Cover classification, linear regression

Build a recommendation system model working with large-ish datasets

Collect and clean data, then split it into training and other sets required

Test and evaluate your model using various methods and metrics (RMSE, MAE, etc.)

Course Meetings for Part-time Flex and Intensive Bootcamps

Morning Standup

Daily standup meetings are conducted to kick off the day, Learners share progress since last session, discuss roadblocks, and brainstorm solutions, fostering support and goal clarity. Facilitated by program managers, these meetings ensure everyone shares updates, mirroring industry practices.

Live Coding Sessions

As part of the group session, a learner will tackle a coding problem, sharing their thought process to the group, inviting discussion and alternative solutions.

Collaborative Coding Workshop

Students collaborate in small groups on unique timed coding challenges. Results are shared and then to reinforce their grasp of terminology and potential interview questions, a quick ‘Skills Check’ quiz is presented.

Weekly Technical Presentation

Explore industry-relevant technical subjects that are not typically addressed in projects. Activities range from individual presentations to group work completing “new technology canvas” worksheets followed by brief presentations.

Engineering Case Studies

A case study is selected in advance that aligns with the program’s curriculum, learning objectives, and student expertise levels, ensuring a variety of topics. Following this, we engage in reading, analyzing, and discussing business challenges and data privacy issues, etc. fostering collaboration and diverse viewpoints.

Required Study Time

Our virtual library offers private breakout rooms for one-on-one conversations or focused group discussions. Whether working independently or in groups, respectful communication and active listening are prioritized.

Pair Programming Pods

A collaborative workspace where two learners work together on the same project. Partners can readily share ideas, solve problems, and learn from each other’s coding skills.

Stop Boring Online Courses!

All tracks use project-based learning, meaning you will spend most of your time coding. Manage your work and assignments in our proprietary learning platform that’s designed to reflect the working life of an engineer.
Expect to be assigned projects, coding exercises, and peer code reviews. Our platform includes:

Autocorrection system
Automatic code quality evaluator
Integrated development environment
Integrated Git system
Sophisticated peer code review system with IDE and Git all connected, gamified with points you earn and spend
Discord chat for each course

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Join an Outstanding Learning Community!

Joining Qwasar is about joining a learning community. Learning on your own is hard, watching online videos can be boring, and sharing your learning journey (and certainly lots of jokes) with others is important.

Our platform and Discord chat, as well as our program meetings, are all about building and participating in the community.

When you join our programs, you have access to:

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Group debugging session

Small group sessions

Virtual coworking rooms

Sophisticated peer code review system

Coding collaboration workshops and pair programming

Our lively Discord online chat
with a tech news section and a meme section

How Learning Works What you will be doing throughout the program.

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Projects

We train to standards set by Silicon Valley for full stack developers. This means the level is much higher than that of bootcamps, and higher than that of CS or data science degrees. Your specialty is being an elite developer at a world-renown level.

Excercises

Each week, participants will have 1-5 coding exercises to complete. These are accessed through our software and your code is auto-graded to ensure it is up to speed and functioning. This is part of the learning process. We have over 800 exercises in our library with thousands of test cases!