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:
SELF-PACED LEARNING

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

OVERVIEW

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
4.9/5
4.9
4.9/5
4.95
4.8/5
4.8
5/5
5.0
LEARNING EXPERIENCE

A Seamless and Enriching Learning Experience

1
Start Learning Anytime

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

2
Get TA Support

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

3
Review Session

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

 

4
Personalized Mentorship

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

CURRICULUM

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.
    LEARNING OUTCOMES
    • 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
    KEY SKILLS
    • Database (RDBMS)
    • SQL
    • Data Extraction
    • Data Transformation
    • Data Aggregation
    • Analytic Functions
    • SQL Performance Tuning
    • Data Exploration
    • Data Preparation
    Tools:
    MySQL
    Datagrip
    Tableau
    Database
    Twitter
    OpenAI
  • 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.
    LEARNING OUTCOMES
    • 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
    KEY SKILLS
    • Python
    • Data Structure
    • Functions & Modules
    • Pandas DataFrame
    • Exploratory Data Analysis
    • Web Scraping
    • HTML Basics
    • BeautifulSoup
    • Selenium
    • Data APIs
    • Database Integration
    • Python Packaging
    Tools:
    Python
    Jupyter
    NumPy
    Pandas
    Plotly
    OpenAI
    Streamlit
  • 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, decision trees, random forests, and xgboost, and deep neural networks. Students will be learning end-to-end machine learning pipelines, and work on solving various practical ML challenges.
    LEARNING OUTCOMES
    • Gain mathematics intuition about machine learning
    • 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
    • Build machine learning pipelines by following the industry best practices
    • Apply popular machine learning algorithms to solve real-world problems
    • Learn when and how to apply machine learning techniques in different business scenarios
    • Learn how to apply ML solutions to have real-life business impact
    • Understand how to communicate effectively and build trust with business teams via ML storytelling
    KEY SKILLS
    • 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
    • Clustering
    • Deep Neural Networks
    • Deep Learning
    • NLP
    • Text Classification
    • Sentiment Analysis
    Tools:
    Python
    Pandas
    NumPy
    SciPy
    Sklearn
    PyTorch
    Streamlit
  • 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 AWS and how to build an end-to-end big data analytics projects in the cloud.
    LEARNING OUTCOMES
    • 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
    • Build an end-to-end real-time data science pipeline using AWS, Kinesis, Spark, Spark ML, Athena/Presto, and Quicksight
    KEY SKILLS
    • Big Data
    • Apache Spark
    • AWS EC2
    • AWS S3
    • AWS Redshift
    • Distributed Systems
    • Data Ingestion
    • Distributed Machine Learning
    • Real-time Analytics
    • Federated Queries
    • End-to-end data science pipelines
    Tools:
    Linux
    AWS
    EC2
    S3
    Athena
    Redshift
    Hadoop
    EMR
    Databrick
    Quicksight
  • Business Use Cases & Agile Project Management
    Module 5
    Business Use Cases & Agile Project Management
    This module prepares students for the real world. Students will work peer-to-peer on solving multiple data science challenges. The instructors will cover real use cases and bring their real-life project experiences into the classroom. Students also learn how to work in teams and practice agile project management methods in group projects as well as the optional real client projects.
    LEARNING OUTCOMES

    Some of the use cases covered include

    • 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
    KEY SKILLS
    • Business Presentation
    • Use Case Study
    • Agile Project Management
    • Scrum
    • Kanban
    • Diagraming
    Tools:
    Notion
    Lucid
    Kanban
    Github
    PPT
    Agile
  • 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.
    LEARNING OUTCOMES

    Career services included in the bootcamp include

    • Resume workshops
    • Group interview practice
    • Portfolio project mentoring
    • Coding interview practice and additional resources (Leetcode/hackerrank)
    • Peer programming practice and code reviews

    Career services included after graduation (6 months)

    • One-on-one career mentoring sessions with data scientists for 6 months after graduation
    • One-on-one resume critique
    • One-on-one mock interview sessions with data science mentors
    • Job referrals and networking sessions
    KEY SKILLS
    • Research
    • Cold Calling
    • Networking
    • Presentation
    • Salary Negotiation
    Tools:
    LinkedIn
    ChatGPT
    Leetcode
    Hackerrank
Mentorship

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 Project ✨

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.

OUR ALUMNI ARE WORKING AT

Tuition and Scholarship

TUITION
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 service
Scholarship

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.

5/5

Han Liu (2021 Alumni)

  • Overall ⭐⭐⭐⭐⭐
  • Curriculum ⭐⭐⭐⭐⭐
  • Job Support ⭐⭐⭐⭐⭐

 

“Best Bootcamp!!”

The staff at WCD are very professional and supportive. Especially Tianshu and Ernesto, they are very quick response and willing to help me with questions even in late night! Based on my experience, real client projects are the most valuable experience for beginner like me to land job in DS position!

5/5

Shima Sadat (2022 Alumni)

  • Overall ⭐⭐⭐⭐⭐
  • Curriculum ⭐⭐⭐⭐⭐
  • Job Support ⭐⭐⭐⭐⭐

 

“Data Science Program”

A great program! The course content was amazing, well-designed and organized from pre-work courses to milestone assignments and real-life projects. Finally, I could find my favorite job I was looking for. I would recommend this program to everyone at any level.

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. 

FAQ

Frequently asked questions about the bootcamp
Data engineers help the organization ingest, collection, and transform large amounts of data. Data engineers deal with raw data and understands data models very well. The output of DE’s work are usually data warehouse or data lakes that store cleansed and transformed data. Data scientists and analysts will consume those data for business intelligence and machine learning/predictive analytics. Data analysts will focus on analyzing data to address ad-hoc business questions. They are good at SQL and database queries and know the business metrics well. Data analysts will also build KPI dashboards that are consumed by business teams and executives for day to day operations. Data scientists perform advanced analytics and machine learning to help the business address predictive questions. It goes beyond answering the what and why questions, and help business make personalized recommendations to improve sales, identifying high-risk transactions to prevent loss, finding good customer segments to generate more revenue, etc.
WeCloudData offers a unique project-based learning approach. Unlike other bootcamps, we give students the opportunity to work on real-life consulting projects as part of the learning journey. The real projects help students gain confidence, show real experience on the resume, get more interviews, have real experience to talk about during the interviews, and adapt to new jobs quickly.
Learners joining the data science bootcamp don’t need to have strong data science experience. The bootcamp is supposed to prepare you for the job market. However, being able to demonstrate basic data handling skills using excel or experience working with tables and spreadsheets are the minimum requirements. Basic data sense and logical thinking is also important. There will be a screening test that the learners need to pass in order to get admitted into the program. If you come from a non-tech, non-STEM, non-CS background, it’s totally fine. However, pre-bootcamp preparation is the key. We highly recommend learners take the Data Fundamentals course before joining the data science bootcamp. It equips them with the right skills to become successful in the bootcamp. If you won’t be available for the data fundamentals course, we recommend you take the free SQL and python courses at your own pace. Completing the data fundamentals course also give learners the opportunities to be eligible for additional scholarship because it shows the commitment to success.
Students who have graduated from the data science bootcamp are a good mix of backgrounds. About half the cohort will be career switchers and professionals who don’t come from data and tech background. 30% of the learners are recent graduates. Some of them are from CS, statistics, and engineering background. 10-20% of learners already have some data analytics skills via self-learning or previous work and they are in the bootcamp to up-skill and learn more about machine learning and big data. About half of the learners have a bachelor’s degree and 40% have a Master’s degree and 10% have PhD background. Almost everyone’s goal is to land a job in data science.
To get the most up to date information about the Data Science job market, we recommend you check out the Job Market Report and blog posts on our website. Typically, data scientists are expected to be paid an average base salary of $120k USD in the U.S. and $100k CAD in Canada. Senior data scientists can be compensated well over $150k USD.
The job market demand for data scientist is very high. It is getting very competitive because there’re more junior data scientists competing for entry level jobs, which are somewhat limited in a tough job market in recent years. However, as an applicant, all you need is an advantage/edge to beat 95% the career switchers and junior DS out there. The best way to achieve this is through project experience building. As long as you have the right skills and relevant industry experience you will have a very big advantage. This is exactly what WeCloudData’s project-based learning can offer. Our 1-1 career mentoring service will also make sure that you have the right interview experience to stand out to employers.
PhD is not required for all DS jobs. Only about 12% of the data scientist jobs specifically mention PhD in the description. 40%-50% of the DS jobs require a minimum of Bachelor’s degree and 30% of the DS jobs require Master’s degree. Of course, having a higher degree will always be an advantage but employers are more interested in experienced candidates. So if you have strong project portfolio and even real project experiences, it weigh much more than education background.
Yes, statistics is important knowledge to have if you want to become a data scientist. But there’s no need to complete a statistics book or course. It’s more important to understand how to use statistics for specific data science scenarios such as AB testing, understanding metrics, understanding statistical learning algorithms. Those don’t require very deep knowledge of statistics and can be picked up quickly. The bootcamp will prepare you for math and statistics. We also highly recommend learners go through the pre-bootcamp.
Most career switchers who don’t have STEM background will have doubts. Based on WeCloudData’s experience, lack of tech background can be quickly overcome by working on practical projects. There’re definitely learning curves to overcome during the bootcamp but that 3-6 months will be worth the effort. Considering that it will have a profound impact on your future career path, it’s worth the pain! Getting into data science or other data professions give you exposure to some of the best job opportunities and you will also have more options to become product managers and project managers in this space. You can also go pretty far down a technical career path. WeCloudData will give you the support and care you need along the way and help you become successful.
Yes. The recent hype in generative AI is real. We’ve seen the power of ChatGPT. Some have fear that jobs like data scientist and analyst will be replaced by ChatGPT. However, one needs to realize that chatGPT is just a language model. It won’t be able to replace a data scientist any time soon. Of course, there’re code interpreters that can even generate code to do analysis, but real analytics tasks require understanding of business context, rules, and data itself. Generative AI is not close when it comes to reasoning and analytics and to create real business value we still need data scientists. The demand for DS and AI talents will also increase due to many business starting to realize the power of data and AI. Being able to write a few lines of code DOES NOT equal data science. Data scientists often need to exert influence on decision making and having emotional intelligence is also extremely important. That is not something ChatGPT can do. But it will help data scientists become more efficient so we should all be adapting to it.
This course is designed to be very hands-on. It’s impossible to become good at data science without actually digging into the data, analyzing it, and developing solutions that will impact business. There will be lots of lab exercises and homework to keep students busy and the projects will help learners gain practical experience. If you prefer a more academic environment, we recommend you consider a Master’s program. If you want to gain practical experience and build portfolio projects, this is the perfect course.
There are two types of projects: personal projects (also called capstone or portfolio projects) and real client projects. All students in the course will need to complete the capstone project. The real client project is a different training and career service offered at WeCloudData via our partner Beamdata. Learners will become a trainee and receive project-based training. Learners will be assigned to a real project team to work with clients and get mentored and trained by our project managers and project leads. It’s a great learning opportunity and also allow the students to gain real experience to stand out in the job market. You can talk to our learning advisors to find more details.
You can find our alumni reviews and stories by visiting the student success pages.
Yes. Scholarship is available for students who meet the requirements. A scholarship test needs to be completed and the learner needs have a 20-minute live assessment with the program manager. Alumni who have completed courses that meet the pre-requisites will also be eligible for scholarships.
Yes. We offer flexible payment plans and work with 3rd parties to offer loans as well. Please fill out the inquiry form to access the course package page. It has the payment plan details. Or you can contact our learning advisors for more details.
View our Data Science Bootcamp (Self-paced) course package

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Data Science Bootcamp (Self-paced)

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View our Data Science Bootcamp (Self-paced) course package