This course equips students with the comprehensive toolkit necessary to become a data scientist.
The emerging data economy has unlocked a myriad of opportunities in data. At the forefront is an insatiable need for data scientists. To put it simply, data scientists analyze data for actionable insight. In order to complete this task, data scientists engage in an array of activities, such as collecting large sets of unstructured and structured data, cleaning and validating data for accuracy and uniformity, devising and applying algorithms and models to mine large datasets, and much more. This course equips students with the comprehensive toolkit necessary to become a data scientist.
Level up your resume with in-demand data science skills like statistical analysis, data transformation with Python, advanced statistical analysis using R, data visualization in Tableau, machine learning with statistical models and sci-kit-learn, and deep learning with TensorFlow.
What You'll Learn
Data Science techniques using two of the world's most popular programming languages
Python and R have tools available for gathering, cleaning, visualizing, and analyzing data.
How to pre-process data in databases like SQL, MySQL, and Azure
Understand the mathematics behind Machine Learning
Coding in Python and learning how to use it for statistical analysis
Create Machine Learning algorithms in Python
Explore core concepts in data visualization using Tableau
Unfold the power of Deep Neural networks
How to implement AI workloads on Azure
The SysIntelligence Advantage
SysIntelligence Institute of Technology maintains a focus on both training students and landing them their dream job. For this reason, we carefully craft our curriculum and student amenities to help us achieve this goal. Here’s what’s in it for you:
Expertly Designed Curriculum, Optimized for Canadian IT Job Market
Beginner-Friendly and Hands-On Curriculum
Access to Video Recordings of Lectures
24/7 Virtual Lab Access
Passionate, Industry-Leading Staff Members
Resume-building, Optimized for Canadian IT Job Market
Technical and Non-Technical Interview Preparation and 1-on-1 Coaching
100% Job Placement Assistance
Welcome to SysIntelligence Institute of Technology, where innovation shapes the future of tech education. Our mission is to empower individuals with the skills to excel in the dynamic tech world. With top-notch faculty, updated programs, and industry-aligned education, we prepare students to lead in IT.
Based in Mississauga, SysIIT had been dedicated to helping students build fulfilling IT careers through training and mentorship. Whether you are looking to level up their IT skillset or a complete career transformation SysIIT can help with achieving your goals.
Our unique blend of hands-on training, virtual and in-person, coupled with our client-centered mentorship has helped countless students attain the IT career of their dreams. For top-notch IT training in Mississauga, SysIIT is your one-stop shop!
This Microsoft certified course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI.
After taking this Advanced course in Data Analysis, you will be able to perform inquiries that will be useful to your business or organization, and have the skill necessary to communicate these results through graphs and text that your fellow employees will understand.
Start by learning how to acquire data, transform the data, create data models, visualize data, and share assets in Power BI. You will then learn advanced Power BI skills, including the management of data repositories and data processing in the cloud and on-premises.
Learn how to craft effective prompts to guide large language models to generate the desired output with this comprehensive course on getting the most out of ChatGPT.
BrainStation’s Data Science course was created to help you develop job-ready data skills. Earn a Data Science certificate while learning the foundations of data science, how to create dynamic data visualizations, data modeling, machine learning techniques, Python for data analysis, and more.
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