Course information

Advanced Data Science Certification​ Course Outline

Module 1: Python for Data Analysis - NumPy

  • Introduction to NumPy
  • NumPy Arrays
  • Aggregations
  • Computation on Arrays: Broadcasting
  • Comparison, Boolean Logic and Masks
  • Fancy Indexing
  • Sorting Arrays
  • NumPy’s Structured Arrays

Module 2: Python for Data Analysis – Pandas

  • Installing Pandas
  • Pandas Objects
  • Data Indexing and Selection
  • Operating on Data in Pandas
  • Handling Missing Data
  • Hierarchical Indexing
  • Concat and Append
  • Merge and Join
  • Aggregations and Grouping
  • Pivot Tables
  • Vectorised String Operations
  • Working with Time Series
  • Eval() and Query()

Module 3: Python for Data Visualisation – Matplotlib

  • Overview
  • Object-Oriented Interface
  • Two interfaces
  • Simple Line Plots and Scatter Plots
  • Visualising Errors
  • Contour Plots
  • Histograms, Binnings and Density
  • Customising Plot Legends
  • Customising Colour Bars
  • Multiple Subplots
  • Text Annotation
  • Three-Dimensional Plotting

Module 4: Python for Data Visualisation – Seaborn

  • Installing Seaborn and Load Dataset
  • Plot the Distribution
  • Regression Analysis
  • Basic Aesthetic Themes and Styles
  • Distinguish between Scatter Plots, Hexbin Plots and KDE Plots
  • Use Boxplots and Violin Plots
  • Compare the Use Cases of Swarn Plots, Bar Plots Strip Plots, and Categorical Plots
  • Recall Some of the Use Cases and Features of Seaborn

Module 5: Machine Learning

  • Introduction
  • Importance
  • Types
  • How Does Machine Learning Works?
  • Machine Learning Mathematics

Module 6: Natural Language Processing

  • Introduction to NLP
  • NLP and Writing Systems
  • Advantages
  • NLP Applications

Module 7: Deep Learning

  • Introduction
  • Importance
  • Working

Module 8: Big Data

  • Big Data Analytics
  • State of Practice in Analytics
  • Main Roles for New Big Data Ecosystem
  • Phases of Data Analytics Lifecycle

Module 9: Working with Data in R

  • Data Manipulation in R
  • Data Clean Up
  • Reading and Exporting Data
  • Importing Data
  • Charts and Graphs

Module 10: Regression in R

  • Regression Analysis
  • Linear Regression
  • Logistic Regression
  • Multiple Regression
  • Normal Distribution
  • Binomial Distribution

Module 11: Modelling Data

  • What are the Relationships?
  • Viewing Relationships
  • Creating Relationships
  • Cardinality
  • Cross Filter Direaction
  • What is DAX?
  • Syntax
  • Functions
  • Row Context
  • Calculated Columns
  • Calculated Tables
  • Measures

Module 12: Shaping and Combining Data using Power BI

  • Query Editor
  • Shaping Data and Applied Steps
  • Advanced Editor
  • Formatting Data
  • Transforming Data
  • Combining Data

Module 13: Interactive Data Visualisations

  • Page Layout and Formatting
  • Multiple Visualisation
  • Creating Charts
  • Using Geographic Data
  • Histograms
  • Power BI Admin Portal
  • Service Settings
  • Desktop Settings
  • Dashboard and Report Settings

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Who should attend this Advanced Data Science Certification Course?

This Advanced Data Science Certification Course is tailored for individuals seeking to enhance their expertise in the field of data science. This training is particularly beneficial for professionals such as:

  • Experienced Data Analysts
  • Data Scientists
  • Machine Learning Engineers
  • Statisticians
  • Business Analysts
  • AI Developers
  • Entrepreneurs
  • Researchers

Prerequisites of the Advanced Data Science Certification Course

There are no formal prerequisites for the Advanced Data Science Certification Course. However, having prior knowledge of multiple programming languages will be beneficial for the delegates.

Advanced Data Science Certification Course Overview

In today's data-driven world, the demand for professionals with expertise in data science is soaring, and this Advanced Data Science Certification stands as a beacon for individuals seeking to navigate the intricate landscape of data science. Covering critical topics such as NumPy arrays, regression analysis, Machine Learning mathematics, and more, this training provides a robust foundation for those eager to harness the power of data.

Business Analysts, Data Engineers, Software Developers, and even executives can benefit significantly from mastering data science. In an era where every bit of data holds invaluable insights, those well-versed in data science possess a distinct advantage. They can unravel complex patterns, make informed decisions, and drive innovation.

The Knowledge Academy 4-day Advanced Data Science Certification Course is designed to empower delegates with practical knowledge and hands-on skills. It delves into essential concepts such as working with time series, three-dimensional plotting, data analytics lifecycle phases, and data manipulation using Power BI. By the end of this training, delegates will emerge as adept Data Scientists capable of working with data at expert-level

Course Objectives

  • To provide a comprehensive understanding of basic and advanced data science concepts
  • To equip delegates with practical skills in tools such as Pandas and Power BI
  • To cover critical topics like NumPy arrays, regression analysis, and Machine Learning mathematics
  • To empower Business Analysts, Data Engineers, Software Developers, and executives with data science proficiency
  • To enable delegates to unravel complex patterns and make informed decisions through data-driven insights
  • To ensure delegates emerge as adept Data Scientists capable of tackling real-world data challenges

Upon completion of this Data Science Certification training, delegates will not only possess a solid foundation in data science but also practical skills in tools like Pandas and Power BI. This empowers them to analyse data effectively, make informed decisions, and contribute meaningfully to their organisations' success.

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What’s included in this Advanced Data Science Certification Course?

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

Why choose us

Our Toronto 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.

Toronto, a city in the Canadian province of Ontario, has an average population of roughly 2,615,000 spread across 243.33 square miles of land – making it the busiest and most populous region in the whole of Canada.  At The Knowledge Academy, we offer 50,000 classroom based training courses throughout the different areas of Toronto, in order to enhance people’s learning in an array of subject areas.  Education in Canada is generally funded by federal, provincial, and local governments; the system is divided into primary, secondary and post-secondary education and is operated under provincial jurisdiction.  On the whole, there are 190 days in a school year, starting in September and ending towards the last Friday of June.  Some popular and highly regarded universities in Canada include: the University of Toronto (notable alumni including: William Lyon Mackenzie King, Vincent Massey, Donald Sutherland and Lesra Martin), the University of British Columbia (notable alumni including: Eddie Peng, Justin Trudeau and Nardwuar the Human Serviette), and the University of Alberta (notable alumni including: Dayo Wong, George Stanley and Beverley McLachlin).  With its massively diverse citizenry and education options, it is hard to solely categorise the formation of its education system; it is also the home site to four publicly funded K12 school boards, a publicly funded religious K12 school board, a range of K12 private and prepatory school and a plethora of other religious, vocational, career and specialist schools.  As French is a commonly spoken language in Canada, there are also a number of public school boards designed for French language students.  Regarding religious schools, there are a number of Christian, Islamic and Jewish schools based in Toronto, all of which offering a slightly different educational system to their students and are tailored to best suit a specific religion.  With non-public schooling in mind, there are also a variety of religious non-public school boards spread throughout Toronto, namely the Board of Jewish Education of Toronto and the Toronto Adventist District School Board.  

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Address

100 King St W,

Toronto,

ON M5X 1A9,

First Canadian Place, 

T: +1 6474932992

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Advanced Data Science Certification | Data Science Training in Toronto. 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 Advanced Data Science Certification | Data Science Training in Toronto, 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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Advanced Data Science Certification | Data Science Training in Toronto FAQs

This certification is a comprehensive training that equips professionals with in-depth knowledge of Advanced Data Science techniques, including Machine Learning, Deep Learning, Data Modeling, and Big Data Analytics. It is designed to enhance your ability to solve complex data problems and make data-driven decisions.
Attending this training is crucial for professionals looking to stay competitive in the rapidly evolving Data Science field. It helps you master cutting-edge tools and methodologies, prepares you for leadership roles in data-driven projects, and enhances your career prospects in data science.
Benefits include gaining hands-on experience with advanced tools, improving your analytical and problem-solving skills, enhancing your ability to work with Big Data and Machine Learning algorithms, and boosting your qualifications for high-paying roles in Data Science and AI.
You will learn advanced techniques in Data Analysis, Machine Learning, Deep Learning, Natural Language Processing, Data Visualisation, Big Data Analytics, and the use of tools like Python, R, TensorFlow, and Hadoop to solve complex data challenges.
There are no formal prerequisites for taking the Advanced Data Science Certification Training. However, prior knowledge of multiple programming languages will benefit the delegates.
Yes, upon successful completion of the Advanced Data Science Course Training, you will receive a certificate that validates your skills and knowledge in advanced data science techniques.
Yes. The Knowledge Academy offers 24/7 support for delegates before, during, and after this Advanced Data Science Course. Should you encounter any difficulties accessing the course materials, our customer support team is available to assist and promptly resolve any issues you may encounter.
This Advanced Data Science Training spans across 4 days. For self-paced courses, the duration may vary based on the delegates' schedule, allowing flexibility to complete the training at their own pace.
Yes, self-paced training options are available for this Advanced Data Science Course, allowing delegates to progress through the material at their own convenience, making it easier to balance the course with personal and professional commitments.
Career prospects include roles such as Data Scientist, Machine Learning Engineer, Data Architect, AI Specialist, Business Intelligence Analyst, and Big Data Engineer. These roles are in high demand across industries such as technology, finance, healthcare, and marketing.
Yes, we offer corporate training tailored to the needs of organisations looking to upskill their teams in advanced data science techniques, enhancing their ability to handle complex data challenges and drive data-driven decision-making.
This course is ideal for Data Scientists, Analysts, Software Developers, Machine Learning Engineers, Business Intelligence Professionals, and anyone looking to advance their knowledge in data science and apply it to complex real-world problems.
If you encounter issues accessing the Advanced Data Science Training course materials, you can contact our 24/7 support team or your course advisor for assistance with technical or access-related problems.
The Advanced Data Science Training Course includes in-depth course materials, hands-on labs, real-world projects, case studies, access to advanced data science tools, and resources like study guides and practice exams to reinforce learning.
This Advanced Data Science Course is considered moderately to highly challenging, making it suitable for professionals with some experience in Data Science who are looking to expand their knowledge to more advanced concepts and applications.
The Knowledge Academy offers globally recognised courses, expert trainers, flexible learning formats (online, in-person, and self-paced), and 24/7 support. This Advanced Data Science Training provides a comprehensive learning experience, preparing you for the exam and practical application in your career.
The training fees for Advanced Data Science Certification certification in Toronto starts from CAD5995
The Knowledge Academy is the Leading global training provider for Advanced Data Science Certification.
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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"

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