Our Students
Bootcamp Programs
Short Courses
Portfolio Courses
Bootcamp Programs

Launch your career in Data and AI through our bootcamp programs

  • Industry-leading curriculum
  • Real portfolio/industry projects
  • Career support program
  • Both Full-time & Part-time options.
Data Science & Big Data

Become a data engineer by learning how to build end-to-end data pipelines


Become a data analyst through building hands-on data/business use cases

Become an AI/ML engineer by getting specialized in deep learning, computer vision, NLP, and MLOps

Become a DevOps Engineer by learning AWS, Docker, Kubernetes, IaaS, IaC (Terraform), and CI/CD

Short Courses

Improve your data & AI skills through self-paced and instructor-led courses

  • Industry-leading curriculum
  • Portfolio projects
  • Part-time flexible schedule
Portfolio Courses

Learn to build impressive data/AI portfolio projects that get you hired

  • Portfolio project workshops
  • Work on real industry data & AI project
  • Job readiness assessment
  • Career support & job referrals

Build data strategies and solve ML challenges for real clients

Help real clients build BI dashboard and tell data stories

Build end to end data pipelines in the cloud for real clients


Choose to learn at your comfort home or at one of our campuses

Corporate Partners

We’ve partnered with many companies on corporate upskilling, branding events, talent acquisition, as well as consulting services.

AI/Data Transformations with our customized and proven curriculum

Do you need expert help on data strategies and project implementations? 

Hire Data, AI, and Engineering talents from WeCloudData

Our Students

Meet our amazing alumni working in the Data industry

Read our students’ stories on how WeCloudData have transformed their career


Check out our events and blog posts to learn and connect with like-minded professionals working in the industry

Read blogs and updates from our community and alumni

Explore different Data Science career paths and how to get started

Our free open source courses and workshops gives you the skills and knowledge needed to transform your career in tech

Data Science
Data Science with Python

Python is THE MOST POPULAR programming language used by data scientists. It’s a no-brainer to start your journey by learning Python coding.

However, Python is only a tool used by data scientists for analyzing complex data. To become a data scientist, you need to learn how to analyze data using various tools and libraries in the ecosystem such as NumPy, SciPy, Pandas, and Plotly. Keep in mind that the ability to extract, load, transform, reshape, and visualize data using Python is the key to the success.

This course focuses on teaching the necessary coding, data wrangling, data analysis, and visualization skills required for data scientists. Do you want to know how we help students maximize their learning effectiveness through hands-on projects, coding quizzes, presentations, strong teaching guidance, and support?

Fill out the inquiry form to learn more about the Data Science course curriculum or to talk to our learning advisor.

WeCloudData Best Data Science Bootcamp - Switchup
At a Glance
What you will learn

In this course, we start by introducing Python programming fundamentals including coding basics, data types, functions & modules, and then we will teach Pandas DataFrame for data munging and analysis, NumPy and SciPy for numerical computing, Matplotlib, Seaborn and Plotly for visualization, and Scikit-Learn for predictive modeling.

You will put these tools to use by implementing your own portfolio project and learn how to articulate your analysis through technical and business presentations.

Become interview ready via a ton of exercises
Learn to manipulate data like a pro
Receive project guidance from experts
Get feedback on your presentations and soft skills


Online Live

5 weeks

About the Program

This 5-week Data Science with Python course is one of WeCloudData’s signature course products. Hundreds of students have participated in this course and taken their data analytics skills to the next level. You will meet hiring managers, product managers, directors, and many other professionals who come to this class to polish their Python skills. The course is practical by design, and students learn how to carry out end-to-end data analysis, discover insight, and communicate analytical results through hands-on project implementations.

for those who want to
  • Learn Python programming and data wrangling skills
  • Learn how to perform advanced analytics using Python
  • Build a data science portfolio with WeCloudData's expert guidance and mentorship
  • Learn end to end data science workflow and how data science can be used to improve your product and business

Speak to our advisor

Our Program Advisor can answer all your questions and help you pick a program that best suits your need. Please fill in your information below and we will contact you.

You can also contact us at or (647) 588-4206

"*" indicates required fields

This field is for validation purposes and should be left unchanged.

What you will learn

  • Hands-on Learning
    There's nothing textbook about our approach. With hands-on projects taught by data scientists who actually work in the field, you will learn the intuition, methodology, and end-to-end data science pipeline that you won't be able to learn from MOOCs. In this course, you will learn Python programming, Pandas DataFrame for data munging and analysis, NumPy and SciPy for numerical computing, Matplotlib, Seaborn and Plotly for visualization, and Scikit-Learn for predictive modeling. You will put these tools to use by implementing your own portfolio projects. Instructors will guide you on project scoping, data source research, data collection/scraping, as well as data analysis and presentation. It is a very business-driven and agile environment where students work either in groups or individually to tackle real-life data problems.
    • Python Programming: programming logic, syntax, data types, flow control, functions and modules
    • Data wrangling with Pandas DataFrame
    • Data visualization with Plotly, Seaborn, and Matplotlib
    • Statistics and linear algebra basics with NumPy and SciPy
    • Implementation of your first ML algorithm from scratch
  • Learn end to end data science process
    Don't become a "data scientist" who only knows how to work with Jupyter Notebook and Python packages. The job market needs candidates who understand things end to end and know how to collect data by writing a scraping job or calling a Data API, transform data into different shapes, discover insight via visualization, and do predictive analytics to support decision sciences.
    • Decide how to scope a data project under time/budget constraints
    • Set up data collection strategy
    • Perform exploratory data analysis
    • Transform, merge and aggregate data for predictive modeling
    • Build regression or classification models
    • Summarize and visualize analytical insights
    • Communicate and suggest business strategies via presentations and documentation
  • Use Pandas DataFrame to work with various data structures
    • Work with different data sources (csv, text, json, gzip, parquet, database)
    • Filter and transform data using Pandas and NumPy
    • Merge multiple datasets using DataFrame
    • Aggregation data by columns using dataframe.groupby
    • Use WINDOW functions to deal with rolling windows
    • Treat missing and extreme values
  • Visualize data using Python
    A plot is worth more than a thousand words! A data scientist will use visualization techniques for two purposes: 1) to explore and understand the data and 2) to communicate data insights to the business team. In this course, you will learn:
    • Basic plotting using Matplotlib and Pandas
    • Data exploration using Seaborn
    • Visualize geolocation data using Folium and GeoPandas
    • Build and deploy interactive dashboard using Plotly Dash
  • Learn math for data science
    In this module, you will learn enough math so that you can interpret a statistical distribution, handle data with skewed distributions, explore correlations between variables, perform regression analysis and interpret the results, and understand statistical testing and sampling.
    • Introduction to statistics and SciPy
    • Introduction to linear algebra and NumPy
    • Regression analysis 101
  • Build data science portfolio projects
    Practice makes perfect. Students will come up with their own ideas and work on two capstone projects in this course so they can use them for their job search. Original project ideas with strong motivation are always suggested. Throughout the process, students receive guidance from instructors on how to get started and frequently discuss the progress. Instructors who are industry experts will teach students how to turn the project into a proper portfolio that can be demonstrated to a hiring manager.
    • Problem framing and scoping
    • Writing the project requirements
    • Data collection through web scraping or data APIs
    • Data visualization and analysis
    • Insight analysis and project documentation
    • Creating a portfolio through blogging and Github


Watch our recorded webinar and learn more about Data Science career and industry insights.
Why WeCloudData?
Meet Your Faculty: Tanya Zhou

Instructors & Guest Speakers

Online Learning Platform

Learn anywhere, anytime

Track your learning journey
Watch lecture recordings, work on coding challenges, ask for TA help, and get resume and job support. The learning portal allows you to track your entire learning journey with ease.
Sharpen your coding skills
Leverage our online coding tool to test your knowledge, identify your weaknesses, and improve your Python and SQL coding skills. The LeetCode style live coding challenges will help you get prepared for technical job interviews.


Build data science portfolio projects
Practice makes perfect. Students will come up with their own ideas and work on an end-to-end capstone project in this course so they can use it for their job search. Original project ideas with strong motivation are always recommended.
Build your unique data science project
  • Learn how to define the use case and build a data analysis strategy
  • Develop Python scripts to collect data via web scraping or web APIs
  • Define data models and load data into databases
  • Use Python and SQL to clean and analyze data
  • Prepare data for analytics and insights
  • Data visualization using Python libraries such as Plotly Dash or Streamlit
  • Present your project along with the insights to experienced data science experts


What our students are saying
Schedule, Tuition & Financing Options


Related Blog Posts

Related Courses

View our Data Science with Python course package
View our Data Science with Python course package

Learn basic skills with our free WeCloudOpen Courses!

Join our free SQL and Python coding courses now and gain the skills and knowledge you need to start your career.