Data Science with Python Real-time learning of data science with Python. Weekends only. Course highlights: Why data science, what is the market, and what are companies looking for? Real-time learning of data science with Python.
Data Science with Python Real-time learning of data science with Python. Weekends only. Course highlights: Why data science, what is the market, and what are companies looking for? Real-time learning of data science with Python.
Course Highlights:
Why data science? What is the market, and what are companies looking for? (1%)
Data science overview (2%)
Data Analytics overview (2%)
Python environment set up, installations of IDE (5%)
Python learning from basics to advanced (30%)
Session 2 (10%):
• Introduction to Business Analytics
• Business Analytics and Competitive Advantage
• Business Data and Systems
• Data Lifecycle (DLC) and Data Quality
Session 3 (10%): Descriptive Analytics, Part 1
• Introduction to R and Working with Data in R
• Exploratory Data Analytics
• Measures of Central Tendency and Variation
• Exercise on Data Quality
Session 4 (10%): Descriptive Analytics, Parts 2 and 3
• Associative Data Analytics (Correlation and Association)
• Strategic Data Acquisition for Analytics
• Inferential Data Analytics (T-Test, A/B Testing, and ANOVA)
Session 5 (10%): Predictive Analytics and Machine Learning
• Fundamentals of Predictive Analytics
• Regression Models: Simple Linear Regression and Multiple Linear Regression
• Fundamentals of ML (Machine Learning)
• Supervised and Unsupervised ML Algorithms
• Exercise on Multiple Linear Regression (MLR)
Session 6 (10%): Prescriptive Analytics and Data Products
• Introduction to Prescriptive Analytics
• Applying Prescriptive Analytics Techniques for Optimal Results
• Data Products
• Times-series data and Fast Fourier Transform (FFT) Analysis
• Text Analytics in Enterprises
• Good Analytics vs. Bad Analytics
Session 7 (10%): Data Visualization and Wrap-up
• Dashboards and Reports
• Overview of Data Visualization
• Data Visualization principles of Edward Tufte
• 6 building blocks of Data storytelling, including Gestalt Principles
• Managing your careers in Data Analytics
• Wrap-up
Object-Oriented Programming Concepts
Operating Systems and Networks
Types of software development models
Rapid Application Development for OOSD
Security for Developers
Web Application Development
Database Development
.NET Web Applications
Open-source Source applications
Object-Oriented Practicum
Threaded Project for OOSD
Software Project Concepts
To help people fulfill their dream of changing careers by experiencing the power of technology and enrolling in our various IT certification courses.Our mission is to give students who want to make a career change into the technology industry something that would’ve been impossible before.
Objectives
To offer training based on real-time project learning
To engage students in technical and soft skills learning
To assist students in determining the career path best suited for them
Certificate Courses (In-Class)
In-person courses provide students with the opportunity to interact with their classmates and instructors in real-time.
Classroom learning promotes collaboration and teamwork among students..
Allow students to receive immediate feedback from their instructors and peers.
In-person courses often involve hands-on learning experiences such as laboratory work, fieldwork, or simulations. This can help students better understand and apply theoretical concepts.
Classroom learning provides students with the opportunity to meet and network with their classmates and instructors.
In-person courses often have a set schedule and attendance policy, which can help students develop discipline and time management skills.
Why Choose Institute of Information Technology?
Institute of IT Training (IOFIT) is the only project-based training center and provides industry-recognized fast-track certifications in,
IT: Quality Assurance
Test Automation with Selenium Webdriver
Software Development
Project Management
Business Analyst
Data Analytics
Since we opened our doors, the Institute of IT Training (IOFIT) has trained and supported over 2000 professionals who have found great opportunities across Canada.
Our students succeed because we offer flexible classroom and online training options, connecting students live face-to-face for every session using the latest web presentation technologies, mock interviews (technical and behavioral), resume writing guidance, LinkedIn profile setup, placement assistance, and work references for IT jobs.
Canadian employers prefer to hire workers with Canadian experience. Employers want workers who are independent, can work collaboratively with project stakeholders, are strong communicators, and can add value to their business unit, and we build it in you.
We have the process installed to make students a complete package with technical and soft skills equipped and ready to go to market.
Python is a general-purpose, object-oriented, and interpreted high-level programming language equipped with dynamic semantics. The entire Python language is created in data structures with a combination of dynamic binding and dynamic typing.
Spring 6 and Spring Boot 3 are another evolutionary advance of Spring’s powerful capabilities. They bring Spring in line with other important software releases such as Java 17+ and Jakarta EE 9.
This module introduces learners to Python, the most popular data skills, according to the Job Market Report published by WeCloudData.
Students will build upon the skills acquired in C# Programming 3 to further develop Windows business applications using C#.NET. Students will incorporate Language Integrated Query (LINQ) to all aspects of the application including database data as well as XML file.
If you have never written a computer program and have wondered how to do it, here is an opportunity for you.
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