Course information

Data Science Analytics Course Outline

Module 1: Introduction to Data Science

  • What is Data Science?
  • Types of Data
  • Data Science Pipeline

Module 2: Understanding Data Wrangling

  • Data Wrangling Workflow
  • Data Acquisition
  • Five Steps of the Data Collection Process
  • Data Enriching
  • Data Cleansing

Module 3: Data Analysis

  • Data Analysis within Business
  • Confirmatory Data Analysis
  • Exploratory Data Analysis
  • Data Analysis Files

Module 4: Data Mining

  • Introduction to Data Mining
    • Common Classes of Tasks Under Data Mining
  • Regression Analysis

Module 5: Understanding Data Visualisation

  • Introduction to Data Visualisation
    • Six Principles of Data Visualisation
    • Elements of Data Visualisation
  • Psychology of Charts

Module 6: Data Manipulation

  • Data Manipulation Overview
  • Types of Structuring Involved in Data Manipulation
    • Intrarecord Structuring
    • Interrecord Structuring

Module 7: Working with Large Amounts of Data

  • What is Big Data?
    • Different Devices and Applications
  • Fundamentals of Big Data
    • 3 V’s
    • Sources of Big Data
  • Data Tools
  • Structure
  • Sampling
    • Methods of Sampling
  • Chunking Principles
    • How Big Should Data Chunks Be?

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Who should attend this Data Science Analytics Course? 

This Data Science Analytics Course is suitable for a wide range of individuals looking to enhance their skills and knowledge in the field of Data Science and Analytics. This Big Data and Analytics Course can be beneficial for a wide range of professionals, including:

  • Data Analysts
  • Business Analysts
  • Data Scientists
  • IT Professionals
  • Managers
  • Entrepreneurs
  • Financial Analysts

Prerequisites of the Data Science Analytics Course

There are no formal prerequisites for this Data Science Analytics Course.

Data Science Analytics Course Overview

Introduction to the Data Science Analytics Course reveals the significance of harnessing the power of Big Data and Analytics. In an era defined by information, businesses and professionals who can derive insights from vast datasets gain a competitive edge, making Big Data Analytics Courses a pivotal field of study.

Proficiency in Big Data Analytics Courses is vital for professionals across various domains, including Business, Finance, Healthcare, and Technology. It empowers them to extract valuable information from vast datasets, enhancing decision-making and driving organisational success. Anyone aspiring to excel in their respective fields should aim to acquire proficiency in this subject.

This intensive 1-day training provides a comprehensive introduction to Big Data and Analytics, equipping delegates with the fundamental skills needed for data analysis. Through practical applications and real-world case studies, participants will gain hands-on experience in data handling, interpretation, and visualisation.

Course Objectives

  • To understand the fundamentals of data science and analytics
  • To learn data collection, cleaning, and preparation techniques
  • To develop proficiency in data visualisation and interpretation
  • To gain insights into machine learning and predictive analytics
  • To explore the impact of Big Data on business strategies
  • To enhance decision-making through data-driven insights

After completing this course, delegates will receive a certification in Big Data Analytics Courses, validating their expertise in data science and analytics. This certification serves as a valuable asset, opening doors to new career opportunities and enhancing professional growth.

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What’s included in this Data Science Analytics Course? 

  • World-Class Training Sessions from Experienced Instructors    
  • Data Science Analytics Certificate 
  • Digital Delegate Pack

Why choose us

Our Mississauga venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Mississauga is the sixth largest city in Canada. It is in the south of the province of Ontario in the region of peel. The city is estimated to have a population of around 715,000 people. The rapid growth of this city is attributed to its proximity to Toronto. It was originally built as suburb of Toronto. Education in Canada is mostly free and publicly funded. It is overseen by the federal, provincial and local governments, with the education within provincial jurisdiction and the curriculum overseen by the province. Education is compulsory in most provinces up to the age of 16. Mississauga is served by the Peel District School Board, which operates the secular English speaking public schools. There is also a school board that runs the local catholic schools and a board that runs the French speaking schools in the area, one for the secular French schools and one for the catholic French schools. There are a number of schools in the area that offer specialised programs. These include the French immersion schools such as Clarkson Secondary School and Streetsville Secondary School. There are three schools in the areas that off a Regional Arts Program and two that offer a specialist sci-tech program for students who are gifted in these areas. There is also two schools that offer support for those studying for the international baccalaureate plus numerous other programs. Canada’s higher has a very good reputation. However there is no formal ranking system and students will often choose colleges and universities bases on geographic convenience and the reputation of a particular course. Mississauga is home to one of the three campuses run by the University of Toronto. This university is ranked as the 34th best university in the world and is the second highest ranked Canadian university in the rankings. The campus was established in 1967 and is the universities second largest division. It is home to 12,000 students. They have 15 academic departments and pupils can choose from 148 programs to participate in from 89 areas of study. Students can study both undergraduate and graduate programs on this campus. This campus also has an excellent research environment that has helped the staff and researchers become internationally recognised for their work. The university includes Institutes for Management and Innovation, and Communication, Culture, Information and Technology.

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Address

Robert Speck 2
2 Robert Speck Parkway
Suite 750
Mississauga
Ontario
L4Z 1H8

T: +1 6474932992

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Big Data Training | Data Science Analytics Training in Mississauga. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Unlock your potential with The Knowledge Academy's Big Data Training | Data Science Analytics Training in Mississauga, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

Streamline large-scale training requirements with The Knowledge Academy's In-house/Onsite at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

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Team building opportunity

Our offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings

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Big Data Training | Data Science Analytics Training in Mississauga FAQs

The Data Science Analytics Course is designed to teach individuals how to extract insights from large datasets using statistical methods, machine learning, and advanced analytical tools. This course covers the entire data lifecycle, including data collection, cleaning, analysis, and visualisation, empowering learners to make data-driven decisions.
This course is ideal for aspiring Data Scientists, Analysts, IT Professionals, and Business Managers who want to leverage data for better decision-making. It's also suitable for anyone looking to develop a strong foundation in Data Analytics and gain hands-on experience with Data Science tools.
The course covers a range of topics, including data manipulation, statistical analysis, machine learning, data visualisation, and tools like Python and R. You will also learn about big data technologies, cloud computing, and data ethics, ensuring you are well-rounded in both technical and ethical aspects.
There are no formal prerequisites for the course, but having a basic understanding of mathematics, statistics, and some programming experience can be helpful.
Both fields are crucial, but Data Science is broader, involving complex algorithms and predictive models, while Data Analytics focuses on interpreting existing data to find actionable insights. Choosing between them depends on your career goals—both offer excellent growth opportunities.
The best course in Data Analytics depends on your learning objectives, but The Knowledge Academy's Data Science Analytics Course stands out for its comprehensive curriculum, industry-relevant case studies, and practical exercises that prepare you for real-world challenges.
It takes around 3-6 months to grasp the fundamentals of Data Science, depending on your prior knowledge and dedication. However, continuous learning and practice are key to mastering the field as Data Science is constantly evolving.
Online Data Science Analytics Courses offer flexibility, allowing you to learn at your own pace from the comfort of your home. You will also have access to a variety of learning resources, expert instructors, and interactive sessions, making it easier to balance your studies with other commitments.
To excel in Data Science Analytics, you will need skills in programming (Python, R), statistics, machine learning, data visualisation, and working with big data tools like Hadoop or Spark. Problem-solving and analytical thinking are also essential.
Basic coding knowledge, particularly in Python or R, is beneficial for performing data manipulation and analysis. However, The Knowledge Academy's Data Science Analytics Course provides guidance on coding, so even beginners can comfortably learn the required skills.
The course includes hands-on exercises, theoretical lessons, case studies, and access to Data Analytics tools. You'll also get access to expert-led sessions, assessments, and downloadable resources to enhance your learning experience.
The duration of this Data Science Analytics Course is 1 day.
Yes, The Knowledge Academy offers ongoing support, including access to webinars, tutorials, and additional learning materials even after you complete the course. You’ll also become part of an active community where you can engage with other learners and industry professionals.
You will learn how to work with large datasets, perform statistical analysis, create data visualisations, and develop machine learning models. Additionally, you'll gain expertise in data tools such as Python, R, and SQL, which are essential for any Data Science role.
After completing the course, you can further your skills by pursuing advanced certifications in specialised areas like machine learning or big data. Additionally, you can start applying your knowledge in real-world projects or seek opportunities in Data Science or analytics roles.
This training will equip you with the knowledge and practical skills needed to excel in the fast-growing field of Data Science. It will open doors to roles such as data scientist, data analyst, and business intelligence specialist, boosting your career prospects significantly.
Yes, you will have access to the course materials, allowing you to revisit lessons, tutorials, and practical exercises whenever you need to reinforce your knowledge.
Upon completing the course, you will receive a certification from The Knowledge Academy, which will validate your skills in Data Science Analytics and enhance your professional credentials.
Attending the course is simple! You can visit The Knowledge Academy’s website, select the Data Science Analytics Course, and follow the registration process. Alternatively, you can contact our support team for assistance.
After completing the course, you can pursue various roles such as data analyst, data scientist, business analyst, and machine learning engineer. The demand for data professionals is growing, and you will be well-prepared to enter this exciting field.
The Knowledge Academy stands out as a prestigious training provider known for its extensive course offerings, expert instructors, adaptable learning formats, and industry recognition.
The training fees for Data Science Analyticsin Mississauga starts from CAD3395
The Knowledge Academy is the Leading global training provider for Data Science Analytics.
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Many delivery methods

Flexible delivery methods are available depending on your learning style.

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High quality resources

Resources are included for a comprehensive learning experience.

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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

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