DATA ANALYTICS
Master Class
If you plan to work as a Data Analyst in Canada, UK, USA, or explore remote jobs from any where in the world, then this training has been specifically designed to set you up for success.
No tech experience required.
Course overview
Data literacy is critical for decision-making for most industries, and data analytics is a growing field in high demand in the job market. From market research and product development to infrastructure and finance, the need for a foundation in analytics is growing.
Rise to meet the challenges posed by data, and set yourself up for career advancement with our Certificate in Data Analytics
This course prepares you to explore Data Analytics roles, prepares you for job interviews and gives you hands-on experience to drive in the filed of Data and Analytics.
Here's what you'll benefit from the program;
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12 weeks of immersive learning
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Multiple hands-on Data Analytics projects to add to GitHub
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Interview preparation
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Resume and LinkedIn profile assistance
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Job placement support
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Build a Data Analytics Portfolio of projects
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Recommendation/Reference Letter
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Alumni networking support
COURSE DETAILS
Next class starts on October 19th, 2024
Course Duration
12 Weeks intensive weekend (Saturday) sessions
Course Fee (in USD)
$890 (Eight hundred and ninety Dollars)
*** Installment payment options exist
Time / Effort
5 - 6 Hours per week for lectures, project work and assessments.
Mode of Course Delivery
100% Online learning
Eligibility
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This course assumes no prior knowledge or experience of programming. But this knowledge would be an asset.
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Basic knowledge of statistics and probability expected. (The course only reviews this subject briefly)
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Access to a computer with an internet connection.
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Interest in learning new tools or technologies.
The Process
Apply
Candidate completes application form
Get Interviewed
Candidate is interviewed for program fit
Make Payment
Candidate is admitted and payments made
Start & Complete
Candidate starts and completes training
Course Modules
Module 1
Introduction to Data Analytics
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The data Life Cycle
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Planning a Data Analytics Project
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Tools and Technology Overview
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Statistics Refresher
Module 2
Python Hello World
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Python set up
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Data Types and Data Structures
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Flow Control
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Functions, Modules and Libraries
Module 3
Python - Pandas
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Importing and exporting data
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Dataframe and Series operations
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Visualizing data with Pandas
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Using the Pandas User Guide
Module 4
Databases & SQL
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Database Fundamental Concepts
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Structured Query Language (SQL) basics
Module 5
SQL deep dive
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Join and Aliases
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Data integration
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SQL functions
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Data Aggregation
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SQL Structured Query Language (SQL) basics
Module 6
Excel
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Excel Basics - Functions, Shortcuts
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Data Visualization in Excel
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Group Project Check-in
Module 7
Analysis Techniques and Concepts
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Pivot Tables (Excel, Pandas)
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Matching, Grouping, Sorting, Counting
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Distributions and Outliers
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Sampling and Probability
Module 8
Data Visualization Deep Dive
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Types of Visualizations
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BI Tool Core Concepts (Tableau)
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Strategies for effective visualizations
Module 9
More on Automation and Sharing Insights
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Executing SQL using Python
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Automated Reporting - Examples
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Case Study - Streamlit
Potential Roles After this Course
Short-term Roles
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Data Analyst
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Analytics Consultant
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Business Intelligence Analyst
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Quantitative Analyst
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Operations Analyst
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Marketing Analyst
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IT Systems Analyst
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Logistic Analyst
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Intelligence Analyst
Long-term Roles
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Data Scientist
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Data & Applied Scientist
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Data Engineer
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Analytics Engineer
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Analytics Manager
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Machine Learning Engineer
Meet the Course Instructors
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Brian Mukeswe, Canada
Lead Data Scientist at MasterCard Inc.
Brian leads Data Science efforts for Mastercard Canada., under the company’s Cyber and Intelligence solutions division. In his role, he leverages data modelling and statistical analysis to inform fraud investigation strategies.
Brian is the lead instructor for Hibreed’s Data Analytics program, and will bring his wealth of experience to support the students as they explore careers in Data Analytics.
Sharon Shamuyarira, Canada
Senior Analyst @ Salesforce
Sharon is a Senior Analyst at Salesforce, under the company’s Global Distribution and Strategy Operation team. In her role she owns key business dashboards, analyzes data on business performance and user adoption.
She holds a Masters in Data Science from the University of Edinburgh. Sharon will be an instructor in Hibreed’s Data Analytics course and will bring her data analysis and coaching skillset to guide the students on their Data Analytics Journey.
Why take this course
