Advanced Data Science Certification - United States

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
• Vectorized String Operations
• Working with Time Series
• Eval() and Query()

Module 3: Python for Data Visualization – Matplotlib

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

Module 4: Python for Data Visualization – 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 Relationships?
• Viewing Relationships
• Creating Relationships
• Cardinality
• Cross Filter Direction
• 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 Visualizations

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

Who should attend this Advanced Data Science Certification Course?

This Advanced Data Science Certification Course in the United States is tailored for individuals seeking to enhance their expertise in the field of data science. This course 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 in the United States 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 course 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 course in the United States. 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 in the United States 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 course in the United States, 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 analyze data effectively, make informed decisions, and contribute meaningfully to their organizations' success, providing a distinct advantage in today's data-centric professional landscape.

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

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

You’ll also get access to the MyTKA Training Portal, which will be your go to hub for all your training.
Hands-On Labs: Included as part of our online instructor-led delivery, these labs provide real-world exercises in a simulated environment guided by expert instructors to enhance your practical skills.