Data Science Bootcamp (Self-paced)

Combine self-paced materials with mentor sessions for a comprehensive and flexible learning experience

For those eager to pursue a career in data science, whether you’re a new graduate or a career switcher, WeCloudData’s Data Science self-paced bootcamp stands out as the premier choice. Our program provides a meticulously structured learning path in data science, where students engage in hands-on projects, gain practical experience through industry data projects, and benefit from our esteemed reputation as one of the top coding bootcamps. Inquire today to unlock the path to becoming a skilled data scientist with WeCloudData.

Explore our Program Package to find:

Access our comprehensive ✨self-paced✨ learning materials 24/7

Learn on your own terms and schedule. Our self-paced approach allows you to delve into the world of data without the pressure of deadlines. Take control of your learning journey, progressing at a pace that suits your lifestyle.

Learn Anytime, Anywhere

Learn at your own pace without deadlines, tailoring your journey to fit your lifestyle.

Interactive Modules

Dive deep into data concepts through videos, quizzes, and hands-on exercises that bring theory to life.

TA Support

Get dedicated support from experienced teaching assistants for guidance whenever needed.

Real-World Applications

Our course content is rooted in practical, industry-relevant scenarios, providing insights directly applicable to your professional endeavors


About the Program

Dive into the world of data science at your own pace with our self-paced Data Science Bootcamp. Tailored for recent graduates and career switchers, this flexible learning option allows you to progress through the curriculum on your terms. The all-encompassing learning package, designed with your convenience in mind, now includes on-demand TA, weekly mentoring sessions, and interactive review workshops. Whether you’re seeking a seamless transition to a data science career or aiming to reduce friction and frustration through a structured curriculum while balancing your daytime job, this self-paced program stands as your optimal career investment.

What you will get
Top data bootcamp voted by students and partners

A Seamless and Enriching Learning Experience

Start Learning Anytime

Engage with self-paced materials designed for learning anytime, anywhere, and at your own pace.

Get TA Support

Teaching Assistants (TAs) are readily available on Slack to assist you with any questions during the bootcamp.

Review Session

Participate in live, interactive workshops with instructors for dynamic review and reinforcement of the covered materials in each module.


Personalized Mentorship

Book a weekly meeting with a mentor who will guide you through your learning and career journey, providing personalized support.


Explore Our Comprehensive Curriculum

WeCloudData Bootcamps are designed to be project-based. We not only cover essential theories, but also teach how to apply tools and platforms that are in high demand today. Our program curriculum is also highly adaptive to the latest market trends. 

  • Data Science with SQL
    Module 1
    Data Science with SQL
    This module introduces learners to SQL, one of the essential data analytics skills. Students will learn to write SQL queries to extract, transform, aggregate, pivot, and join data. Students also learn to apply Tableau and SQL for visual storytelling under various contexts.
    • Apply advanced SQL functions to analyze financial market time series data
    • Analyze the latest trends in Web3 and OpenAI ChatGPT using SQL
    • Design visual storytelling on retail data with Tableau and SQL
    • Data preparation for machine learning with SQL
    • Database (RDBMS)
    • SQL
    • Data Extraction
    • Data Transformation
    • Data Aggregation
    • Analytic Functions
    • SQL Performance Tuning
    • Data Exploration
    • Data Preparation
  • Data Science with Python
    Module 2
    Data Science with Python
    This module teaches students some of the most practical data science and analytics skills using Python. Students will start with python programming basics and move towards advanced topics such as DataFrame, visualization, web scraping, database integration, and building interactive apps using Streamlit. The module focuses on building things that are fun and practical for businesses.
    • Master the fundamental python programming skills
    • Analyze and manipulate structured and unstructured data using Pandas DataFrame
    • Collect data from the web using scraping techniques
    • Work with web and data APIs such as OpenAI ChatGPT and Twitter
    • Database integration via SQLAlchmey and Psycopg2
    • Visualize data and discovery patterns using Pandas, Matplotlib, and Plotly/Seaborn
    • Build interactive visual applications with Streamlit
    • Python
    • Data Structure
    • Functions & Modules
    • Pandas DataFrame
    • Exploratory Data Analysis
    • Web Scraping
    • HTML Basics
    • BeautifulSoup
    • Selenium
    • Data APIs
  • Applied Machine Learning
    Module 3
    Applied Machine Learning
    The Machine Learning unit introduces students to machine learning, including the concepts, algorithms, and techniques used to train and deploy machine learning models. Students will learn about supervised and unsupervised learning and popular algorithms such as linear regression and decision trees.
    • Apply popular machine learning algorithms to solve real-world problems
    • Understand the fundamental concepts of machine learning, including supervised and unsupervised learning
    • Evaluate the performance of a machine learning model and use techniques such as cross-validation to improve it
    • Math (Statistic, Linear Algebra)
    • EDA (Exploratory Data Analysis)
    • Feature Preparation
    • Feature Selection
    • Feature Engineering
    • Regression Analysis
    • Classification
    • Ensemble Trees (GBM, XGBoost, Random Forest)
    • Model Validation
    • Hyperparameter Tuning
  • Big Data
    Module 4
    Big Data
    The Big Data unit introduces students to big data, including the concepts, technologies, and techniques used to manage and analyze large data sets. Students will learn about the characteristics of big data, such as volume, velocity, variety, and veracity, as well as the challenges and opportunities it presents. They will also learn about popular big data technologies such as Hadoop, Spark, and NoSQL databases and how they can store, process, and analyze big data.
    • Understand the fundamental concepts of big data, including its characteristics and challenges
    • Use popular big data technologies such as Hadoop and Spark to store, process, and analyze big data
    • Understand the basic concepts of distributed computing and how it is used to process big data
    • Understand the basic concepts of data visualization and how it can be used to present big data insights
    • Big data concepts and characteristics
    • Big data technologies and their usage
    • Distributed computing
    • Data Visualization
    • Data Analysis and Data Wrangling
    • Distributed Systems
    • Data Ingestion
    • Distributed Machine Learning
    • Real-time Analytics
    • Federated Queries
  • Business Use Cases & Agile Project Management
    Module 5
    Business Use Cases & Agile Project Management
    This unit introduces students to deep learning, including the concepts, algorithms, and techniques used to train and deploy deep neural networks. In addition, students will learn about the architecture and principles of deep neural networks, such as artificial neural networks, convolutional neural networks, and recurrent neural networks.This unit is designed to introduce students to the field of deep learning, including the concepts, algorithms, and techniques used to train and deploy deep neural networks. Students will learn about the architecture and principles of deep neural networks, such as artificial neural networks, convolutional neural networks, and recurrent neural networks.
    • Telecom churn prediction
    • Recommender system
    • Supply chain forecasting
    • Retail customer segmentation
    • Social sentiment analysis
    • Bank fraud detection
    • Bank loan approval
    • Ads CTR prediction
    • Insurance claims prediction
    • Business Presentation
    • Use Case Study
    • Agile Project Management
    • Scrum
    • Kanban
    • Diagraming
  • Career Preparation
    Module 6
    Career Preparation
    Before entering the 1-1 career mentoring, students will learn about the Data Science job market and build job search skills. Career coaches will teach graduates how to structure resumes, apply for jobs, and ace the interviews. Students work in groups for peer mock interview practice.
    • Research
    • Cold Calling
    • Networking
    • Presentation
    • Salary Negotiation

Nail your job search journey via 1-on-1 mentoring

From the beginning of your self-paced bootcamp, our experienced mentors are here to guide you every step of the way. Have questions about the materials? Need career advice to navigate your chosen field? Your dedicated mentor is ready to provide insights, support, and valuable guidance. Together, we’ll shape your learning experience and pave the way for your successful career

Tailored Acceleration and Support:

Your mentor is there to address questions promptly, ensuring a tailored and efficient learning journey

Enhanced Motivation:

Stay motivated and engaged with your studies as your mentor provides encouragement, feedback, and a supportive presence throughout your self-paced bootcamp

Industry Insights:

Gain valuable career advice, insights, and industry knowledge from your mentor, enhancing your understanding and preparing you for success in your chosen field.

Real Client Projects

Gain Hands-on Experience with Real-client Projects ✨

One of the best ways to get the experience needed for a data & tech career is to start with a project. WeCloudData is one of the few companies who offers this opportunity. In our bootcamp, we’ll give you an opportunity that many graduates don’t have: work on something meaningful and important right away. You will be able to even contribute ideas or solutions that make an impactful change!

*Please note that the Real Client Project is now optional and not included in the Self-paced bootcamp tuition.

Interested in Real Client Project?
Portfolio Projects

Build real project experience to differentiate

We also have a capstone project that gives our students the chance to synthesize their learning and build a portfolio piece they can showcase on their resume or LinkedIn profile. This helps them stand out from other applicants when applying for jobs or opportunities.


Tuition and Scholarship

Standard Package:

$4,000 USD

Self-paced materials + 30-hour 1-on-1 mentor support
Extensive Package:

$6,000 USD

Self-paced materials + 30-hour 1-on-1 mentor support + 6-month career services

We believe in investing in the future of our industry and supporting individuals in their professional journeys. That’s why WeCloudData is proud to offer scholarships for individuals looking to pursue professional development or make a career change. 

The Women in Tech scholarship supports and empowers women pursuing careers in the technology industry. This scholarship aims to address gender diversity and underrepresentation in tech by providing financial assistance, mentorship, and access to our comprehensive bootcamp. We celebrate the achievements of aspiring women technologists and equip them with the skills to thrive in the tech sector.

The Laid-off Support is a special offering designed to provide financial assistance and support to individuals who have recently been laid off from their jobs. We understand the challenges and uncertainties that come with job loss, and we want to help those affected continue their professional development in the technology sector. This provides reduced pricing and access to our comprehensive range of courses, allowing laid-off individuals to acquire new skills, enhance their knowledge, and increase their chances of finding new opportunities in the competitive job market.

The Fresh Grads Scholarship is a scholarship program that offers financial assistance to outstanding individuals who have recently completed their undergraduate or postgraduate studies within 12 months and are looking to kickstart their careers in data and tech. The scholarship aims to bridge the gap between academia and industry, empowering fresh graduates to become competent data professionals through an intensive and comprehensive bootcamp.

student success

What our graduates are saying

Pooja Sureja (2022 Alumni)

“Best Bootcamp!!”

I started my journey as a Mechanical Engineer. Making a career transition was hard decision to make. All the teachers and professors have played an important role shaping my professional career. Their care for the students’ well being and their ability to cater to all learning styles was one of the keys to my success. I would definitely recommend this program for all the career switchers. Awesome career service provider. Mentors are well educated and help a lot in resume building, interview preparation.


Let WeCloud Accelerate Your Career in Tech

Start your career today!

Want more details about this program? Unsure about which path to take? Apply now to reserve a spot or make an appointment with our learning advisor. 


Frequently asked questions about the bootcamp
View our Data Science Bootcamp (Self-paced) course package


Data Science Bootcamp (Self-paced)

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Our Program Advisor team will reach out to you to schedule an online meeting. Please note that meeting time is in Eastern Time (ET).
View our Data Science Bootcamp (Self-paced) course package