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 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.

This 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 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 Mississauga venue

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Full IT support

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Video equipment

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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 Advanced Data Science Certification | Data Science 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 Advanced Data Science Certification | Data Science 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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The training fees for certification in Mississauga starts from CAD5995
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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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