Data Science Analytics - Canada

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?

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.

Benefits of Data Science Analytics Training

Data Science Analytics Training in Canada by The Knowledge Academy, a global training provider, helps learners analyse datasets and interpret data effectively. It enables professionals to convert data into meaningful insights for organisational decision-making and business strategies.

Professionals can achieve the following benefits:

• Structured Data Analysis: Examine datasets using analytical methods to identify trends, relationships, and meaningful patterns.
• Effective Data Wrangling: Prepare datasets through cleaning, organising, and structuring processes to ensure accurate analysis and interpretation.
• Enhanced Data Visualisation: Present analytical results using visual techniques to communicate findings clearly to stakeholders.
• Advanced Data Mining: Apply data mining techniques to discover hidden patterns and extract useful information from large datasets.
• Efficient Data Manipulation: Organise, transform, and restructure raw data into usable formats suitable for analysis and reporting.
• Large Dataset Handling: Manage and analyse large volumes of data using sampling and processing techniques for efficient analysis.
• Improved Decision-making: Interpret data patterns and trends to support strategic and evidence-based business decisions.

What’s included in this Data Science Analytics Course?

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