If you are a new graduate or career switcher interested in a data scientist career path, WeCloudData’s Data Science bootcamp is the best option. We offer the most structured data science learning path. Students learn with hands-on projects, build real experience via industry data projects, and receive six months of career mentorship to help them land a data scientist job. Our data science bootcamp is consistently ranked as one of the top coding bootcamps. Inquire today to become a data scientist with WeCloudData.

Intermediate

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First Name

Last Name

Country

Phone Number

Part-time

Online Live

6 months

260 hours

Upcoming Start Date

Nov 28

Registration Deadline:

November 28, 2023

Select a start date that fits your schedule

About the Program

The Applied Data Science & Big Data Diploma Program (Data Science Bootcamp) is a part-time flexible learning program that helps recent graduates and career switchers break into data science. The learning package includes 26 weeks of part-time study, six months of portfolio project building, and six months of 1<>1 mentorship and job support after graduation. WeCloudData is committed to an extensive support period to help our learners achieve their career change/kickstart dreams. If you want to make a smooth transition to becoming a data scientist, and reduce the friction and frustration by following a structured curriculum, while keeping your daytime job, this program will become your best career investment.

POTENTIAL JOB TITLES

Data Scientist

Machine Learning Scientist

Statistical Analyst

Big Data Analyst

Decision Scientist

Machine Learning Engineer

Predictive Modeler

Statistician

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WeCloudData is the perfect place to grow your career

Choose your network & mentor wisely

Interacting with expert instructors, engaging with classmates, working on group projects, meeting with real clients and networking with a community of like-minded professionals. You'll be able to build your network and collaborate with people from all backgrounds, strengthening bonds and making friends in the process!

Solving real-world problems

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! Teamwork is an essential part of data career. In our bootcamp, we'll have you work with other students and a Project Manager to complete a Real-Client project.

Comprehensive bootcamp with a focus on skills that are in high demand

No other bootcamp offers the flexibility and variety of topics, the number of hours and instructors, and the depth of knowledge in this industry. WeCloudData is a one-stop destination to learn data science - from basic concepts to building data-driven applications. Your learning is personalized and all your questions are answered by our expert instructors.

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Ranked #1 Data Training Program

 4.9/5

 4.96/5

 4.95/5

A path more than just courses

BOOTCAMP

Learn cutting-edge skills from expert instructors

PROJECT

Gain hands-on experience with Real-client Project

career

Get 1-on-1 mentorship from our professionals

REAL HANDS-ON PROJECTS

Gain hands-on experience with Real-client Project

The Data & AI Job Market is highly competitive. It is easier to stand out and get noticed with relevant background and experience. Therefore, WeCloudData has gone the extra mile to bring real-life projects into the classroom. Our Part-Time Data Science Bootcamp students will work on real business scenario-based projects. The Full-Time Data Science Bootcamp students will get opportunities to work on real client projects.

CLIENT

Agriculture Tech Startup

project

Real-time Sensor Data Visualization Pipeline

Our students helped an agriculture tech startup deploy a real-time sensor data monitoring tool and time series forecasting models on AWS. The models allow the client to have real-time insights about the sensor data collected from the IoT platform.

CLIENT

EdTech Platform

project

Semantic Search Tool for Knowledge Base

Help an EdTech startup build a semantic search solutions based on machine learning, information retrieval, and big data technologies. The Spark-based end to end data science pipelines process tens of millions of documents, classify them, and ingest them into search engine database for semantic search.

Portfolio Project

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.

LEARNING EXPERIENCE

Drive Success with Interactive Learning Experience

Weekly Schedule

Monday

On-Demand TA Support

Our teaching assistants will provide 1-1 help on lab challenges. Lab instructors will also give project mentorship. It’s important to take advantage of the live office hour sessions.

Tuesday

Lecture (7:30pm-10:30pm ET)

Learners join live zoom sessions to learn new topics of the week. The instructor will spend 2 hours on theory, use cases and 1 hour on hands-on demo. Students are encouraged to follow along and ask a lot of questions.

Wednesday

On-Demand TA Support

Same as Monday office hour. Sessions can be live or async via slack.

Thursday

Lecture (7:30pm-10:30pm ET)

Friday

On-Demand TA Support

Same as Monday office hour. Sessions can be live or async via slack.

Saturday

Lab Sessions (1:00pm-5:00pm ET)

Lab instructors will go through lab exercises. During some sessions students are required to work in groups and complete peer coding challenges. Lab instructors will discuss lab solutions and let students ask specific questions.

* Mon-Fri Regular Hours

Real Client Project

* For learners who are also enrolled in the real projects, they work with our project leads and real life projects. Full-time job seekers will spend more time during the week and professionals with full-time jobs will collaborate asynchronously with the project team throughout the week.

Bootcamp Journey

FACULTY TEAM

Learn from the best instructors & TA

We’ve brought together a team of highly skilled and experienced instructors to help you learn effectively. Our instructors have a passion for teaching and a wealth of real-world experiences in their respective fields, so you can be confident that you’re learning from the best.

Adam Xing

Data Science Program Manager @ WeCloudData

Adam Xing is the Data Science Program Manager at WeCloudData. Adam graduated with a bachelor’s degree in economics. He has lots of experience working with high-tech, retail, e-commerce, government, and startups. Adam has a strong passion for data science and engineering, and loves helping people become better learners, guiding them to solve challenging problems, encouraging them to build strong minds, and using the right tools to push them beyond their limits.

Tanya Zhou

Data Developer, Walmart

Tanya is currently a Data Developer at Walmart. She holds a Master’s degree in Statistics and Math from McMaster University. In her day to day work, Tanya performs data analytics on large datasets (terabytes) residing on S3 using SQL / Python / Scala with Apache Spark in order to make data-driven decisions. She is a passionate teacher and is currently an assistant instructor of the SQL course at WeCloudData.

Tianshu Luan

Data Science Assistant Instructor @WeCloudData

Tianshu is a Data Science Assistant Instructor at WeCloudData. Prior to joining WeCloudData, Tianshu worked as a high school teacher in Mathematics in various public and private schools in Ontario. Through his teaching career, he is extremely interested in how data collection, data processing, and data analysis can help students in Statistics and help improve the private school system. In his role of Data Science Assistant Instructor, Tianshu is responsible for material and course designing, leading labs, and providing assistance to students. He is very passionate about exploring the possibilities in Python, SQL, and Machine Learning.

Shaohua Zhang

Chief Instructor (WeCloudData) | Head of Data Science (BeamData) | Startup Advisor and Data Coach

Shaohua is the Co-founder and Chief Instructor at WeCloudData. In the past few years, he has trained hundreds of students and helped many of them launch their data science careers. He is also the CEO and Head of Data Science at Beam Data where he works closely with the industry partners on implementing data science projects. Prior to co-founding the Toronto Institute of Data Science and Technology (WeCloudData), he led the data science team at BlackBerry and helped build the data science practice at Kik. He has also worked with big companies such as TD, Canadian Tire, Sunlife, CIBC, Communitech, and MaRS on upskilling their data teams.

Ken Ding

Senior Manager, Credit Risk Modeling - Decision Science, BMO Financial Group | Data Science Instructor | Career Mentor

Ken has over 9 years of experience in data analytics and specializes in retail lending, campaign analytics and credit risk modeling. With a passion for Data Science, Ken has acquired solid technical skills (SQL/Python/SAS/AWS) and would like to share his learning experience with everyone. Ken also received an MBA degree from Rotman Business School, University of Toronto.

Rogelio Cuevas

Director, Data Scientist (Sun Life) | Data Science Instructor (WeCloudData) | Career Mentor (WeCareer)

Rogelio Cuevas currently works as a Director of Data Science in the financial industry in Toronto and as a Data Science mentor for a San Francisco start-up. His educational background has allowed him to work in various research-oriented institutions that include Duke University, McMaster University, University of Western Ontario, and Fermilab. His past research activities made him a recipient of a postdoctoral Fellowship awarded by the Natural Science and Engineering Research Council of Canada.

CURRICULUM

Be ready for the new economy

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.

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 Skill:

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

Tools:

Python

Jupyter

NumPy

Pandas

Plotly

OpenAI

Streamlit

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 Skill:

Python, Data Structure, Functions & Modules, Pandas DataFrame, Exploratory Data Analysis, Web Scraping, HTML Basics, BeautifulSoup, Selenium, Data APIs, Database Integration, Python Packaging

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 Skill:

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

Tools:

Linux

AWS

EC2

Athena

Redshift

Hadoop

EMR

Databrick

Quicksight

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 Skill:

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

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 Skill:

Business Presentation, Use Case Study, Agile Project Management, Scrum, Kanban, Diagraming

Tools:

Notion

Lucid

Kanban

Github

PPT

Agile

Tools:

ChatGPT

Leetcode

Hackerrank

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 Skill:

Research, Cold Calling, Networking, Presentation, Salary Negotiation

SCHEDULE

Upcoming Start Dates

US (East)

US (West)

Toronto (ET)

Vancouver (PT)

US (East)

US (West)

Toronto (ET)

Vancouver (PT)

View Tuition, Financing Options, and Scholarship in the Program Package

Intermediate

Explore our Program Package to find:

First Name

Last Name

Country

Phone Number

Career Services

Career success takes more than just courses

Taking courses alone don’t guarantee career success. WeCloudData’s career mentoring service, community events, and workshops are top-notch! We put in lots of effort outside of the classes to help learners grow their knowledge, confidence, job skills as well as network.

1-on-1 Mentorship

Available in all bootcamp programs, the career mentorship service helps close job market knowledge gap and provides the support our learners need to land a job.

Networking & Community

WeCloudOpen is a community built for tech leaners, practitioners who want to share thoughts, tips, and best practices with fellow learners and grow together.

Events & Workshops

Catching up with the latest tech industry trends by attending WeCloudOpen Workshops and community events. Learn practical tools and always stay relevant.

OUR ALUMNI ARE WORKING AT

OPEN RESOURCES

Start Learning With WeCloudOpen

WeCloudOpen is here to help you unlock your full potential in tech, with our free courses and workshop. Learn the fundamentals of coding and data, and become a proficient tech professional in no time!

WeCloudOpen Course

Our comprehensive courses on Python and SQL are the perfect way to start your journey into the world of tech. WeCloudOpen ensures you learn the basics without any hassles

WeCloudOpen Workshop

Our free workshops offer topics like Business Intelligence, Data Science, Data Engineering, DevOps, Machine Learning – allowing you to get a head start in tech career

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.

No results found.

UPCOMING EVENTS

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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.

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Join WeCloud Open and start learning today! We provide open courses, career guide, and learning resources. It’s a great way to start your career in tech!

FAQ

Frequently asked questions about the bootcamp

What is the difference between the full-time and part-time Data Science Bootcamp?

They follow the same curriculum. The part-time program is 26 weeks long and is suitable for learners who have a full time job and want the flexibility. The full-time program is for learners who have time to study full-time and complete the bootcamp in 12 to 14 weeks. Both options are intense and require dedication.

What is the difference between data science, data engineering, and data analyst jobs?

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.

I won’t be able to attend the live Bootcamp, do you provide a self-paced Bootcamp at a lower price?

Yes. It’s possible to watch the recording only without support. It is also possible to watch the recordings and get learning and career mentorship. Please talk to our learning advisors for more details.

How do I choose between full-time and part-time Bootcamp? Should I quit my full-time job?

Whether you go with a full-time or part-time Bootcamp depends on a few factors. 1. are you able to afford quitting your current job? If not, go with the part-time Bootcamp. 2. How soon do you want the career switch to materialize? If you want it to happen sooner, full-time is a better option. 3. Do you have the grit to have a full-time job while grinding through a busy part-time Bootcamp? If yes, maybe part-time is a better option. Otherwise, full-time Bootcamp gives you the disciplined environment you need to push forward. Quitting your full-time job is generally not recommended during a tough job market or when the market is not bullish. Financial stability is very important and make the decision to quit your full-time job only when you can afford 6-12 months of runway, when your existing busy job doesn’t allow you the luxury to study part-time, or when you need the handholding and concentration to fully immerse yourself in school for a few months.

What makes WeCloudData’s data science Bootcamp unique?

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.

What are the pre-requisites for joining the data science bootcamp?

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.

What is the typical student profile in the Bootcamp?

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.

What’s the average salary a data scientist make?

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.

Given the competitiveness of the data science job market, is it still easy for someone to land a data science job?

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.

Do I need to have a Master’s or PhD’s in order to do this program?

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.

Do I need to know statistics before taking this bootcamp?

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.

I don’t have a tech background, how hard is it going to be to make a career switch?

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.

In the era of generative AI and ChatGPT/Bard, should I still pursue a career in data science?

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.

How hands-on is this course?

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.

How many hours am I expected to spend every week?

Learners in the part-time program usually spend 15 to 20 hours each week (including the lectures and labs) and learners in the full-time program usually spend 40-60 hours per week.

Do I get project mentoring?

Yes, during the regular weeks we have office hours and labs sheets students get to follow labs and ask questions. During the project weeks, students will join the project mentoring sessions to interact the project mentors.

Do we get to be involved in real-life projects?

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.

Is career support included in the part-time bootcamp?

Yes. The Data Science Part-time Bootcamp comes with 6 months of career mentorship. During the bootcamp, we host resume workshops, interview preparation sessions and help students with their resumes and portfolio projects. After the Bootcamp, students will enter a 6-month career mentoring phase where they work with an industry mentor on a one-on-one basis for job search. Mentoring sessions are one of the most important advantage of WeCloudData’s bootcamps. It offers services beyond resume help and the mentors are all data industry professionals instead of regular career counselors.

How do you support students find jobs after graduation?

Our career services include: resume workshop, interview workshop, industry guest lectures, job recommendation and referral, 1-1 career mentoring.

Where can I find your alumni success stories?

You can find our alumni reviews and stories by visiting the student success pages.

Can I opt out of career service?

Yes. If you’re doing the bootcamp to up-skill yourself you can opt out of the career service. Fees can be deducted from the tuition.

Do I get a diploma after completing this course?

Upon successfully completing the Bootcamp, Canadian learners will get a diploma issued by WeCloudData Academy (under Ministry of Education). Please contact our learning advisor for more details. For US and international learners, you will get a Bootcamp certificate.

Do you offer scholarship?

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.

Do you offer payment plan for this course?

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.

WeCloudData is the leading data science and AI academy. Our blended learning courses have helped thousands of learners and many enterprises make successful leaps in their data journeys.

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