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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

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

Capstone 1: Retrieving, Processing and Visualising Data with Python

Module 5: Machine Learning

  • Introduction
  • Importance
  • Types
  • Working
  • Machine Learning Mathematics

Module 6: Natural Language Processing

  • Introduction
  • NLP Example
  • 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

Capstone 2: Machine Learning Applications in Retail, Hospitality, Education and Insurance Sectors

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

Capstone 3: Retrieving, Processing and Visualising Data with R

Module 11: Modelling Data in Power BI

  • Power BI Data Model
  • What are the Relationships
  • Viewing Relationships
  • Creating Relationships
  • Cardinality

Module 12: Shaping and Combining Data using Power BI

  • The 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

Capstone 4: Product- Sales Analysis using Power BI

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Prerequisites

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

Audience

This Advanced Data Science Certification is suitable for anyone who wants to take their skills to the next level and add-on into their existing skillset. However, it is much more beneficial for:

  • Data Scientists
  • Data Engineers
  • Business Analysts
  • Data Analysts
  • Data Architects
  • Machine Learning Engineers

Advanced Data Science Certification​ Course Overview

The Knowledge Academy’s 4-day Advanced Data Science Certification provide delegates with a comprehensive knowledge of basic to advanced concepts to make a Data Scientist. Delegates will learn various concepts such as NumPy arrays, installing Pandas, object-oriented interface, regression analysis, machine learning mathematics, etc. Our highly experienced and professional trainers will conduct this training who have years’ of experience in teaching Data Science training courses.

Apart from these, delegates will learn the following essential concepts, such as:

  • Working with time series
  • Three dimensional plotting
  • Installing Seaborn and load dataset
  • Phases of data analytics lifecycle
  • Shaping and combining data using Power BI

After attending this expert training, delegates will be able to operate on the data in Pandas and working with time series. They will also be able to shape and combine data using Power BI successfully and implement interactive data visualisations.

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  • Delegate pack consisting of course notes and exercises
  • Courseware
  • Experienced Instructor

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Why choose us

Ways to take this course

Our easy to use Virtual platform allows you to sit the course from home with a live instructor. You will follow the same schedule as the classroom course, and will be able to interact with the trainer and other delegates.

Our fully interactive online training platform is compatible across all devices and can be accessed from anywhere, at any time. All our online courses come with a standard 90 days access that can be extended upon request. Our expert trainers are constantly on hand to help you with any questions which may arise.

This is our most popular style of learning. We run courses in 1200 locations, across 200 countries in one of our hand-picked training venues, providing the all important ‘human touch’ which may be missed in other learning styles.

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Highly experienced trainers

All our trainers are highly qualified, have 10+ years of real-world experience and will provide you with an engaging learning experience.

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State of the art training venues

We only use the highest standard of learning facilities to make sure your experience is as comfortable and distraction-free as possible

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Small class sizes

We limit our class sizes to promote better discussion and ensuring everyone has a personalized experience

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Great value for money

Get more bang for your buck! If you find your chosen course cheaper elsewhere, we’ll match it!

This is the same great training as our classroom learning but carried out at your own business premises. This is the perfect option for larger scale training requirements and means less time away from the office.

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Tailored learning experience

Our courses can be adapted to meet your individual project or business requirements regardless of scope.

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Maximise your training budget

Cut unnecessary costs and focus your entire budget on what really matters, the training.

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Team building opportunity

This gives your team a great opportunity to come together, bond, and discuss, which you may not get in a standard classroom setting.

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Monitor employees progress

Keep track of your employees’ progression and performance in your own workspace.

What our customers are saying

Frequently asked questions

FAQ's

Bias is a form of inaccuracy that occurs in a Data Science model when an algorithm is used that isn't powerful enough to capture the underlying patterns or trends in the data.
Data science is essential to every organisation in any industry, from statistics and insights throughout processes and recruiting new applicants to assisting senior employees in making better-informed decisions.
Data science is in great demand since it explains how digital data is reshaping organisations and assisting them in making more informed decisions.
Data scientists must have good skills in problem solving and analysis, coding, stats and modelling, building testing and deploying models, and make inferences from data.
The Knowledge Academy is the Leading global training provider in the world for Advanced Data Science Certification.

Why choose us

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Best price in the industry

You won't find better value in the marketplace. If you do find a lower price, we will beat it.

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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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