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.

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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.

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

OpenAI

Twitter

View Full Curriculum
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

Tools:

Python

Jupyter

Numpy

Pandas

Plotly

Streamlit

OpenAI

View Full Curriculum
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.

LEARNING OUTCOMES

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

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

Tools:

Python

Pandas

Numpy

SciPy

Sklearn

PyTorch

Streamlit

View Full Curriculum
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.

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

KEY SKILLS

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

Tools:

Linux

AWS

EC2

S3

Athena

Redshift

Hadoop

Spark

EMR

Databrick

View Full Curriculum
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.

LEARNING OUTCOMES

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:

View Full Curriculum
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

KEY SKILLS

Research
Cold Calling
Networking
Presentation
Salary Negotiation

Tools:

View Full Curriculum

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.

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 services

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.

Women in Tech

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.

Laid-off Support

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.

Fresh Grads

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.