Back
Courses
Back to Catagories
Advanced Data Science Certification
What is Advanced Data Science Certification?
In today’s data-driven world, the ability to harness and interpret data is a crucial skill for driving business success and innovation. The Advanced Data Science Certification equips delegates with the expertise to navigate the complexities of data science. Covering topics such as NumPy arrays, regression analysis, and Machine Learning mathematics, this certification provides a solid foundation for leveraging data to extract actionable insights and create value in various industries.
Proficiency in data science is vital for professionals aiming to stay competitive in a world where every data point holds critical insights. Business Analysts, Data Engineers, Software Developers, and executives can greatly benefit from mastering these skills. Data-literate professionals have the unique ability to identify patterns, make data-driven decisions, and solve complex challenges, giving them a significant edge in driving organisational growth and innovation.
Oakwood International’s 4-day Advanced Data Science Certification Course is designed to provide delegates with practical skills and in-depth knowledge. Delegates will learn essential concepts such as time series analysis, three-dimensional plotting, and data analytics lifecycle phases. Hands-on training with tools like Pandas and Power BI ensures that delegates gain the expertise needed to manipulate, analyse, and visualise data effectively, preparing them to tackle real-world challenges as expert-level Data Scientists.
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 professionals like Business Analysts, Data Engineers, and executives with data science proficiency
To enable delegates to unravel complex patterns and derive actionable insights from data
To ensure expertise in managing and manipulating data for effective decision-making
To teach delegates how to apply data analytics lifecycle phases in practical scenarios
To enhance proficiency in visualising data insights with three-dimensional plotting and Power BI
Upon completing the Advanced Data Science Certification, delegates will possess a strong foundation in data science principles and practical skills in tools like Pandas and Power BI. This enables them to analyse data effectively, make data-driven decisions, and contribute to their organisations’ strategic goals with confidence.
Course Outline
Advanced Data Science Certification
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
Included
Included
- No course includes are available.
Offered In This Course:
-
Video Content
-
eLearning Materials
-
Study Resources
-
Completion Certificate
-
Tutor Support
-
Interactive Quizzes
Individual Training
Individual Training fosters personal growth, enhances professional skills, and builds confidence.
Get a Quote
Corporate Training
Corporate Training improves employee skills, increases productivity, and aligns teams with company objectives.
Learning Options
Discover a range of flexible learning options designed to meet your needs. Select the format that best supports your personal growth and goals.
Online Instructor-Led Training
- Live virtual classes led by experienced trainers, offering real-time interaction and guidance for optimal learning outcomes.
Online Self-Paced Training
- Flexible learning at your own pace, with access to comprehensive course materials and resources available anytime, anywhere.
Build your future with Oakwood International
We empower you with the skills, knowledge, and confidence to excel in your career. Join us and take the first step towards realising your professional goals.
Frequently Asked Questions
Q. Who is this Advanced Data Science Certification course for?
This course is ideal for Business Analysts, Data Engineers, Software Developers, and executives looking to enhance their expertise in data science and gain practical skills for real-world data challenges.
Q. What are the prerequisites for this course?
There are no strict prerequisites, but a basic understanding of programming, statistics, or data analytics will help delegates maximise their learning experience during the course.
Q. How long is the Advanced Data Science Certification course?
The course is completed over 4 days, covering essential and advanced topics in data science with hands-on training in tools like Pandas and Power BI.
Q. What certification will I receive after completing this course?
Delegates will earn the Advanced Data Science Certification, showcasing their proficiency in data science concepts, tools, and practical applications to potential employers.
Q. How will this course benefit my career?
This certification enhances your data science skills, enabling you to analyse data, make informed decisions, and drive innovation, giving you a competitive edge in today’s data-driven job market.
