Data (BI) Analytics + Co-op

SQL , Python & Tableau

The expanding field of Business Intelligence (BI) is now fundamental to all facets of Business across all industries. Business Intelligence & Data Analysts support Data-driven organizational decision-making and maximize the utility of accumulated data. Businesses also use BI Analysts to determine how to improve Processes, discover Efficiencies, support Customers, and reduce Costs.

 

Who this course is for:

  • Business professionals who want to drive their career to more data-savvy

  • IT professionals who want to add Business Intelligence knowledge to their skillset

  • Beginner to programming who want to have a quick start with hand-on practices

  • Students who want to get a flavor of real-word practices in Data Science field

  • People interested in Business Analyst, data Scientist, and Business Intelligence job opportunities

  • Everyone who want to learn how to code with SQL and Python and apply their skills in practice

 

This course is a 9 weeks program with a weekly 3 hours virtual / in-class training paired with detailed course notes, assignments, case studies and questions. The course focuses on equipping the student with Data Analyst and Business Intelligence job-ready skills as demanded by the current Job Market. Students are placed on coop after graduation. Students wanting to join our Consulting team after training will have to apply, pass an entrance exam, interview and meet the job requirements.

Why should you register with us? See FAQ and Testimonials. See our Gallery to view us in action and also check out our social side on Facebook.

What You Get  

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27 hours in-class/virtual training

9 weeks of training

3 hours a day training 

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Weekdays & weekends available (9am-6pm)

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Have fun in a high energy course

A license to a leading Diagram tool

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Resume & Career Workshop

Job Referral and Hiring

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Recorded course videos

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Flexible Payment Plan

Group Discount

What You'll Learn  

Module 1: Python Programming: Basic Python, Python Data Structure & Functions

Module 2: Python for Data Analytics

 

Module 3: ​Data Wrangling with Python

 

Module 4: Data Visualization using Tableau

 

Module 5: Statistics for Data Analytics (Descriptive and Inferential)

 

Module 6: SQL for Data Analytics

Module 7: Machine Learning Basic (Predictive)

Module 8: Real World DA Project

Module 9: Deployment on Heroku (Including GIT understanding)​

We also offer Full Stack Developer, DevOps, Big Data Science, Automation Testing and  Scrum Master Training. View our Courses page to see a full list of our courses. Contact us for any question. Due to COVID-19, we understand you may have more time and want to create a custom fast tracked curriculum. This is also possible. Contact us for more details.

NEXT BATCH

AUG

20

Data Analytics
9 sessions 
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10:00 AM to 1:00 PM (Saturdays)
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Online

Proudly display your Professional Achievements on your LinkedIn and Resume 

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Career Roadmap

1-4 Years

  • Data Analyst

  • ML Engineer

  • Salary: $50 - $79K

5-9 Years

  • Data Analyst Lead

  • ML Engineer Lead

  • Salary: $80K - $99K

10+ Years

  • Data Scientist

  • DA Manager

  • Salary: $100 - $120K

BusyQA Alumni are hired by the biggest global companies. 
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Know your Instructor

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Hi, I'm Shivam Goyal!

Data Analytics Instructor( BusyQA, Master of Management, Business Data Analytics)

I am a seasoned analytics professional with  6+ years of industry experience across CPG, HR Analytics and Banking and Financial Services. During my work experience, I have showcased working knowledge in advanced analytics, statistical modeling and machine Learning, Business development and client management. I have worked across various high impact analytical projects for Fortune 500 clients.

I have also been at the forefront of mentoring new joiners and clients over skills in Python, R, SAS, SQL, Data Visualization tools, Story telling with data and ramping new joiners into delivery using mock projects.

In my class I will teach you the hottest skills in demand in data analytics and ensure you have fun while applying these skills to solve real world business problems.