The Applied Business Intelligence bootcamp is a constantly evolving curated collection of industry-relevant use cases designed to impress hiring managers with extensive skills and an eye-catching portfolio. Start with the basics of data analysis skills and progress by learning how to apply the skills in end-to-end industry use cases with senior professionals as your instructors. Next, build an impactful portfolio with a relevant business problem-solving context. At the end of the program, work with an industry mentor who will coach you on improving your personal brand through impactful storytelling and presentation skills during interviews. Finally, learn all you need to know about becoming a data / BI analyst and land your first role!

Intermediate

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About the Program

The Applied Business Intelligence Certificate program will turn you into a full-stack business intelligence/data analyst in 12 weeks. You will be working with 5 instructors who are data experts from different industries. They will teach you not only 5 essential data tools but also 8 different industry use cases so you graduate with both data and business sense and a detailed portfolio of your work. It is a pure remote learning experience, so you get the comfort and flexibility while keeping your full-time job. Career switch is made easy with WeCloudData because we offer the best learning and career support. You join daily TA office hours to ask for support and receive feedback on your coding assignments, projects, as well as your presentation skills. Whether you are a fresh graduate looking to gain an efficient entry into the world of data or a seasoned professional looking to switch lanes or add on vital data skills to thrive in the digital business world, this program will ensure your success. If you are looking for a fast-track program with the most practical curriculum and top-notch support that lead to successful results then please fill out the inquiry form or talk to our program advisor.

POTENTIAL JOB TITLES

Data Analyst

BI Analyst

BI Developer

Marketing Analyst

Risk Analyst

Digital Analyst

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

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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 CLIENT PROJECTS

Gain Hands-on Experience with Hands-on Projects

In the highly competitive Business Intelligence and Data Analytics job market, WeCloudData goes the extra mile to ensure our students shine by integrating real-life projects into our Data Analytics Bootcamp. Our students engage in hands-on learning, working on real client projects to develop practical skills and make data-driven decisions. Meanwhile, they gain invaluable experience by collaborating with industry experts and stakeholders to provide actionable insights. With access to cutting-edge tools and techniques, our students not only gain technical proficiency but also foster critical thinking and communication skills, granting them a significant advantage in the data analytics industry.

CLIENT

Fire Fighting Records Management System

project

Dashboard building for RMS KPI reporting

Our team successfully fulfilled the client's objective of equipping Ontario Fire Services with a modern Records Management System (RMS) solution and dashboard reports, enabling fire departments to make informed decisions based on historical data. Our deliverables included an enhanced set of PowerBI dashboards for key performance indicator (KPI) reporting, along with the provision for ad-hoc reports. Additionally, we developed a proof-of-concept report that utilized historical data to explore predictive analytics applications, specifically focusing on time series forecasting for event frequency and resource allocation. This comprehensive solution helped the client to leverage data-driven insights for efficient operations and resource management within the fire services.

CLIENT

Journalism Industry

project

Build personalized reporting dashboards

Our student team developed a customized alert dashboard for a client, which enabled the client to efficiently organize and oversee multi-tenant behaviour, observe performances and generate fast business reports within a single system. The dashboard empowered the client to streamline operations, track key performance indicators in real-time, and communicate insights effectively, revolutionizing their operations and achieving their business goals.

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

Daily Schedule

9:00am-5:00pm (Eastern)

** Real Project-based Learning

* Learners who are also enrolled in the real client project program will spend the weekdays on project-based learning. Students will go through project on-boarding quizzes/training before getting assigned to client projects. Inquire today to learn more.

6:00pm-7:00pm (Eastern)

TA Office Hour

We host daily TA office hour before the lecture for the BI program so students can ask lecture/exercise related questions before the class.

7:00pm-10:00pm (Eastern)

Lecture

During the lectures, students will interact directly with the instructors via lessons, Q&As, and lecture demos.

Weekly Schedule

Monday

Lecture (7-10pm ET)

Lesson #1 of the week. 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.

Tuesday

Lecture (7-10pm ET)

Lesson #2 of the week. 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

Lecture (7-10pm ET)

Lesson #3 of the week. 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.

Thursday

Lecture (7-10pm ET)

Lesson #4 of the week. 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.

Friday

AMA Sessions (7-9pm ET)

A weekly Ask-Me-Anything session with the lab instructors. After a long week of study, students may need help from the lab instructors to clarify concepts, coding challenges, etc. Guest lectures are also delivered from time to time during Friday AMA sessions.

Weekends

Self-paced Learning

Most students will need self-paced learning hours to review slides, lecture recordings, work on exercises and personal projects. It’s not mandatory. Some students prefer to use their weekend time.

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.

Elvis Liang

Business System Analyst, The Stars Group

Elvis has Bachelor’s and Master’s degrees in Chemical Engineering. After in-depth exploration on career path of chemical engineering, Elvis found his passion in business and data analysis, and successfully switched his career to an online gaming industry working as a Business System Analyst at PokerStars (a brand of Flutter International). He has delivered a high-impact technology upgrade project resulting in improved player satisfaction and is working on gaming data analysis tasks.

Yahia Kala

Product Manager, CMiC

Yahia has a Bachelor’s and a Master’s degree in Environmental Engineering. After working as a coastal engineer for 3 years, Yahia found his passion in Data Science/Operational BI and successfully switched his career to big-box retailer chain working as a Senior Analyst, Workflow Optimization & Analytics at Shoppers Drug Mart (part of Loblaw Companies) and Product Manager of Analytics at CMiC. Yahia is a subject matter expert in retail pharmacy operations, workflows and strategies. He has delivered high-impact Data Science models and Operational BI solutions resulting in improved operational efficiency, scheduling and workforce management.

Heeral Patel

Director, Risk Management and Analytics, Canaccede Financial Group

Heeral graduated with a BBA from University of Toronto. He began his career at Scotiabank, worked his way up from a client-facing sales role to various analytics and reporting roles. After spending about 5 years at Scotiabank, he moved to Canaccede Financial Group where he manages an offshore data science team in India as well as all of the analytics and reporting capabilities across the company. Heeral is a gifted explainer with Sal Khan kind of quality. He honed his skill to be clear, concise, and encouraging. He believes that just about anyone can learn just about anything, and his assertive and conversational tone instills a good sense of confidence in students. You will love him and learn a great deal of good data habits from him.

Pravin Khatake

Senior Manager, AML Analytics, Scotiabank

Pravin has 6+ years of experience in IT, Commercial Banking and Analytics. Pravin is highly skilled in collecting, cleaning, aggregating, modelling and insight visualization using SQL, Python and various BI tools such as Power BI, Tableau and deep working knowledge of Machine Learning. Pravin has two degrees, Bachelor in Computer Engineering and Masters in Management Studies from JBIMS, Mumbai.

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.

Eric Li

AI Implementation Engineer, OfferFit

Eric has a master’s degree in civil engineering from University of Toronto. After working as a Civil Engineer for a year, Eric found his passion in Data Analytics. Eric has successfully delivered high-impact data projects including business intelligence dashboards, machine learning models and data processing pipelines across Financial Services, Real Estate, and E-Commerce. Eric is happy to share his knowledge in data analytics, as well as his own experience for those who are looking for a career transition

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

Excel

Excel is one of the most widely used data software in the business world, which makes it an appropriate fit for the beginning milestone of the data analytics journey. During this module, students will be (re)introduced to the basics of Excel and utilize the latest features available for analytical tasks. In addition to the plethora of functions, students will use Excel to create comprehensive reports while applying the best practices for analytics and visualizations, making it one of the most popular tools for business intelligence.

LEARNING OUTCOMES

Learn the fundamentals of Microsoft Excel with a focus on practical application.
Through hands-on practice, tackle common business tasks like reporting, dashboards, advanced database functions, logical tests, pivot tables, slicers, and what-if analysis.

Key Skill:

Excel, Functions and formatting, Data analysis, Report Building and Presentation

Tools:

Excel

Powerpoint

Tools:

Datagrip

MySQL

Snowflake

MySQL

Postgres

Module 2

SQL

SQL (Structured Query Language) is the standard language for relational database management systems used to communicate with a database. This makes SQL one of the must-have skills for any data professional. The SQL Fundamentals course is designed for students or professionals who want to develop a deep practical experience of the most common language used to interact with databases. With this course, students will pick up the SQL skills to impress any manager with their ability to communicate effortlessly with databases and work with multi-dimensional data structures.

LEARNING OUTCOMES

Learn to master SQL and turn questions into optimized queries using nested queries, complex joins, and window functions.
Gain essential skills for solving business scenarios in an analytics role.
Get a deep understanding of database schemas and design, and use SQL statements and clauses to perform common business query actions while connecting to a large database.

Key Skill:

SQL, Databases, Data modeling, Schema

Module 3

Python

Python has become one of the most popular general-purpose languages in the computing domain, with heavy implementation in back-end development, software development and data science, among other things. Being an open-source high-level programming language with the support of high-quality libraries, it is one of the go-to tools for any data practitioner. With libraries like Pandas, NumPy, and scikit-learn, Python is the perfect choice for data-related activities.

LEARNING OUTCOMES

This course covers everything you need to know, from the basics of Python to manipulating, cleaning, and preparing data with Pandas.
By the end of the course, you’ll be able to work through a real-world analytics project, discovering insights and making data-driven decisions.
Finally, work through a real-world analytics project, discovering insights and making data-driven decisions.

Key Skill:

Python, Pandas, Data analysis, Open data

Tools:

Python

Colab

Numpy

Pandas

Tools:

Tableau

MySQL

Module 4

Tableau

Nothing leaves a more impactful impression of a story than visuals. With the data you will use in Tableau, you will learn to create stunning visuals that provide deep insights. This course is designed to provide a thorough understanding of how the Tableau interface works, develop dashboards, and automate interactive reports. All in all, the course will provide a framework behind those reports to get the message across effectively from a visual perspective.

LEARNING OUTCOMES

Gain a thorough understanding of Tableau’s interface and data visualization concepts.
Learn to connect to various data sources and prepare data for analysis.
Master the creation of interactive dashboards and reports, including maps, charts, graphs, and other visualizations.
Develop proficiency in advanced techniques such as calculated fields, parameters, sets, groups, and advanced calculations.
Explore the use of Tableau’s data blending and aggregation features to make informed business decisions.
Learn how to publish and share dashboards and reports with colleagues and stakeholders.
Gain hands-on experience in real-world case studies and projects to apply your knowledge.
Develop best practices and techniques for compelling data storytelling and presentation.

Key Skill:

Tableau, Data analysis, Data visualization, Interview case study, Dashboard

Module 5

Power BI

Adding to Microsoft’s list of business power tools, Power BI is a relatively new joiner in the domain but has been widely adopted in a short amount of time by many businesses. The business analytics service aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards. Being an all-in-one tool for analytics, it can take a dataset from cleaning to prediction models and visualizations within a single software package. While other software are analytically amazing and visually stunning, they tend to lack ETL capabilities as compared to what Power BI offers with its two powerful engines under the hood: Query Editor and Data Model. Data has to be clean and ready for Tableau, and real data is always messy. Arguably, Power BI combines the ETL aspects of Alteryx while retaining Tableau's EDA (exploratory data analysis) functionalities.

LEARNING OUTCOMES

Develop a deep practical experience with the Power BI UI and functionalities.
Learn how to connect to various data sources and prepare data for analysis.
Utilize Power Query Editor to load, clean and manipulate data.
Learn about cardinalities and data modelling techniques.
Build a logical model and create new calculated columns and DAX to develop visually appealing and informative dashboards.

Key Skill:

Power BI, ETL, Power Query, Data modeling, Cardinalities, DAX, Data visualization, Dashboard

Tools:

PowerBI

DAX

Postgres

Excel

Tools:

Excel

SQL

Python

Tableau

PowerBI

BigQuery

PowerAutomate

Module 6

Industry Case Projects

Data skills are transferrable from industry to industry. However, the knowledge and experience of dealing with different kinds of data and business scenarios separate a Senior DA from a Junior DA. To stand out in the job market, career switchers must demonstrate extra knowledge and experience and impress hiring managers in interviews with business knowledge. In this program, instructors from different industries will teach eight use cases. It is like a mini-MBA but much more hands-on and data-driven.

LEARNING OUTCOMES

Learn how to work with “dirty” data found commonly in online repositories with Digital Transformations.
Implement logistics tracking dashboards with Supply chain Analytics.
Understand how Digital Marketing Analytics works and build a self-service dashboard to track KPIs.
Learn about the banking industry and build lending portfolios with FinTech Analytics.
Capture the right audience and track campaign effectiveness with Marketing Analytics.
Discover how credit cards work and predict risk using Python with Credit Risk Analytics.
Learn how to capture information and visualize highly insightful dashboards in Power BI with Microsoft 365 – Workflow Automation.
Finally, understand how to cater to multiple business units and build self-service dashboards with Retail Analytics.

Key Skill:

Data wrangling, Data analysis, Data visualization, Open data, Industry domain knowledge, Role specific skills, Use case application

Module 7

Portfolio Workshop

With a collection of industry use case projects under your belt, it is time to highlight your best work. A data portfolio is an excellent way of showcasing your skills and creativity through your work during the bootcamp.

LEARNING OUTCOMES

Understand the purpose of data portfolios, their components, and the benefits of having one.
Develop the skills to effectively tell a story with data, including selecting the right data and visualizations and creating compelling narratives.
Improve communication skills, including presenting data-driven insights effectively and communicating technical concepts to a non-technical audience.
Finally, put all your skills and knowledge into practice by creating a data portfolio showcasing your abilities and the value you can bring to any organization with the eight industry projects in the bootcamp.

Key Skill:

Storytelling, Personal branding, Communication, Presentation

Tools:

Notion

Tableau

PowerBI

SQL

Python

GitHub

PPT

Tools:

SQL

Python

Leetcode

Module 8

Coding Interview Practice

Tech role interviews and coding assessments have become almost synonymous. The LeetCode platform allows people to practice their coding skills on more than 800+ questions with multiple solutions and difficulty levels. Many of the coding practices found on Leetcode are considerably used during interview sessions and provide a great depth of knowledge for practitioners. In this module, the students will polish their coding skills along with the instructor on SQL and Python-based questions.

LEARNING OUTCOMES

Understand the purpose and format of technical interviews, including the types of questions asked and the skills and knowledge that are tested.
Learn how to implement various algorithms and data structures to solve problems using SQL and Python.
Develop coding best practices, including writing clean, readable, and efficient code and the importance of testing & debugging.

Key Skill:

SQL, Python, Algorithms

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

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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

Davidson Dacleu

Graduated 2022 | Reviewed on 10 February 2023

“Definitely one of the best decision I ever made.”

I arrived in Canada with a Bachelor’s degree in Industrial engineering with no prior experience in analytics and a low English level. At WeCloudData, every instructor, TA, and mentor are all responsible, patient, and helpful, they always would love to share their experience and useful resources. During the boot camp, you have the chance to work on and present projects that you are passionate about, using all the skills that you learned and really making them yours. After the course, I was assigned a mentor (the best in the world) to help with my resume and interviews in June 2022 until I landed a DA position in January 2023.

 5/5

Maryam Shakiba

Graduated 2022 | Reviewed on 29 August 2022

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

“Perfect experience”

Such a great journey and experience. From the moment I picked up the phone and contact them to today when I landed my dream job, everyone was so supportive. All the teachers, TAs, staff, and mentors were there for me. Thank you WeCloudData team you all are amazing.

 5/5

Joy Wang

Graduated 2022 | Reviewed on 11 June 2022

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

“Great program with very helpful career guidance”

It was a very comprehensive program, covering different business industries knowledge and required technical skills. Every instructor, TA and mentor at WeCloudData are all responsible and helpful, they always would love to share their experience. I’m very glad that I made the decision to grow with WeCloudData. I highly recommend this program/institution. At the same time, I must say with all the assistance how far you can go is depending on your determination and how much efforts you make.

UPCOMING EVENTS

Join our online webinar

Business Intelligence Bootcamp – Alumni Success Stories

December 5, 2023

8:00 pm -

10:00 pm

EST

Let WeCloud Accelerate Your Career in Tech

Start your application

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.

Start learning with WeCloud Open

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 data analyst, data science, and data engineering 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.

Is BI Bootcamp the same as Data Analyst Bootcamp?

Business intelligence and data analytics are very closely related. In practice, data analysts would spend more time do ad-hoc data analysis requested by the business teams. BI analyst or BI developer tend to focus more on dashboard building and data modelling. But the line has been blurred over the years. It all depends on the job profile. For many, BI sounds a bit more technical than DA. To compete in the job market and have an edge, we train future data analysts and BI analysts the same way in our bootcamp. So in short, the BI bootcamp is WeCloudData’s Data Analyst Bootcamp.

Do you offer a full-time Data Analyst bootcamp?

Yes. Though the full-time option is following the part-time class schedule. During weekdays, students in the full-time program will work on real client projects to accumulate industry experience. 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 Analytics Bootcamp unique?

WeCloudData offers a unique project-based learning approach. Unlike other BI or DA bootcamps, we cover multiple industry use cases. The case-based learning is going to enhance the students real-world experience. For example, the program teaches you the technical skills first and later introduces you to different case-based mini-projects such as HR analytics, supply chain analytics, risk analytics, marketing analytics, etc. WeCloudData also offers 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 BI (or DA) Bootcamp?

This program is designed for any learners who want to work in data analytics and business intelligence. There’s no pre-requisites as it teaches data analytics skills from scratch. However, joining WeCloudData’s data fundamentals course will help learners get well prepared for the bootcamp and the tuition will be deducted from your bootcamp tuition. It’s basically free for the Bootcamp learners.

What is the typical student profile in the Bootcamp?

Students who have graduated from the data analytics bootcamp are a good mix of backgrounds. About 30% the class are professionals who simply want to up-skill themselves and become better at data analytics at work. 70% of the learners are career switchers coming from accounting, finance, project management, mechanical engineering, IT, quality assurance analyst, supply chain, retail, etc. Data analytics is relatively easier to break in and the demand is very big. In terms of education background most students have at least a bachelor’s degree. Most students in the bootcamp are beginners in data analytics without previous coding experience. Some have self-learned SQL and Python when joining the program.

What’s the average salary a data analyst make?

To get the most up to date information about the Data Analytics job market, we recommend you check out the Job Market Report and blog posts on our website. Typically, data analysts are expected to be paid an average base salary of $75k USD in the U.S. and $70 CAD in Canada. Senior data analysts can be compensated well over $100k USD.

How important is programming for data analytics? I’m not good at coding.

Coding is important! However, data analysts don’t code like data engineers and software developers. If you have fear about coding, then rest assured that coding for data analytics is much easier than you have thought. The main coding tool a data analyst needs to master is SQL. It’s a programming language that’s used to retrieve and manipulate data. If you’re comfortable with Excel and spreadsheets, then SQL is a more powerful version. Most beginners are afraid of the syntax because they are just not used to coding. But SQL was designed to be intuitive and you still focus on the data manipulation steps such as lookups (via join), aggregation (via group by), transpose (via pivot), filter (via where clause), etc. Other than SQL, python is getting popular and this bootcamp prepares data analysts to get better at python programming so you can achieve more at work.

Which data visualization tool do you cover in this bootcamp? Tableau or PowerBI?

We teach both and students can complete capstone project using both tools. We do spend more time on teaching Power BI not only because it’s getting very popular also because it allows students to practice more with data modelling.

What are some of the business use cases you teach in this course?

The BI bootcamp covers the following use cases: 1. Digital Transformations 2. Supply chain Analytics 3. Digital Marketing Analytics 4. FinTech Analytics 5. Credit Risk Analytics 6. Workflow Automation 7. Retail Analytics

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.

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

The job market demand for data analytics and BI is very high. Actually data analytics is the most in demand among all data jobs according to the job numbers. It is getting very competitive because there’re more junior data analysts competing for DA jobs and it’s relatively easier to get in compared to data science and data engineering jobs. However, as an applicant, all you need is an advantage/edge to beat 95% the career switchers and junior analysts 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 BI and DA jobs. Our BI job market report shows that 70% of the data analyst jobs require bachelor’s degree. About 27% to 29% of DA job postings mention Master’s degree.

How much math do I need to learn to become a data analyst?

BI jobs are not math heavy. Knowledge of basic statistics is certainly helpful. For example, a histogram is helpful in understanding the distribution of data, moving average is necessary to understand the trends, and data analyst also need to understand regression analysis sometimes. It’s definitely less demanding compared to an average data scientist job which requires more knowledge about statistics and machine learning.

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 analytics?

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 analyst any time soon. Of course, there’re code interpreters that can even generate code to do analysis, draw visualization diagrams, 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 analysts. The demand for Data and AI talents will also increase due to many business starting to realize the power of data analytics. Being able to write a few lines of code DOES NOT equal data analytics. Data analysts often need to exert influence on decision making, communicate frequently with business, 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 analytics without actually digging into the data, analyzing it, and visualizing it . 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 in Management Analytics (MMA). 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 package?

Yes. The Data Analytics (BI) Bootcamp comes with 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 5 to 20-hour 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.

Do I get a diploma after completing this course?

This is a certificate. Graduates will receive bootcamp certificate from WeCloudData Academy.

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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