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Data Science Fundamentals with Python

This program teaches the foundational concepts, theory, and techniques you need to know to become an effective data analyst. Participants will analyze various datasets, built a handful of applications, and applied machine learning algorithms in meaningful ways to get real results. Along the way, participants learn the best practices and computational techniques used by professional data scientists.

From there, the data wrangling topics and lab exercises provide an understanding of the processes used along with the knowledge of the most popular tools and techniques in the domain. The Python content here further demonstrates how to use the Python back-end and extract/transform data from an array of sources including the Internet.

 

This program covers the following key areas and topics:

  • Getting started with Python
  • Working with the Python Interactive Shell and Writing and Running Simple Scripts
  • Data Types
  • Control Statements
  • Functions
  • Lists and Tuples
  • Dictionaries and Sets
  • Object-Oriented Programming
  • Modules, Packages, and File Operations
  • Error Handling
  • PCAP Exam Objectives
  • PCEP Exam Objectives
  • Python for Data Wrangling
  • Lists, Sets, Strings, Tuples, and Dictionaries
  • Advanced Data Structures and File Handling
  • Introduction to NumPy, Panndas, and Matplotlib
  • A Deep Dive into Data Wrangling with Python
  • Getting Comfortable with Different Kinds of Data Sources
  • Learning the Hidden Secrets of Data Wrangling
  • Advanced Web Scraping and Data Gathering
  • RDMBS and SQL
  • "Real Life" Data Wrangling Applications

As part of this program, Learners will complete the following hands-on labs and activities:

  • Using the print Method
  • Displaying a Statement Multiple Times
  • Using Variable Assignment, Using Variables and Assigning Statements
  • Displaying the Multiplication Table
  • Using Arithmetic Operators
  • Performing String Slicing Tasks
  • Working with Strings and Manipulating Strings Using the strip Method
  • Working with Lists
  • Using Boolean Operators
  • Working with the if Statement and while Statement
  • Using the for Loop and the range Function
  • Using Nested Loops
  • Working with Function Arguments
  • Using Lambda Functions
  • Using List Methods and Tuple Methods
  • Arranging and Presenting Data Using Dictionaries
  • Combining Dictionaries
  • Creating Intersections of Elements in a Collection
  • Defining Methods in a Class
  • Creating Class Attributes, Class Methods and Using Information Hiding
  • Overriding Methods
  • Practicing Multiple Inheritance
  • Using Resources in a Module
  • Identifying Error Scenarios
  • Handling Errors
  • Creating the Custom Exception Class
  • Sorting and Generating a List
  • Deleting a Value, Accessing and Setting Values in/from a Dictionary
  • Slicing/Splitting a String
  • Implementing a Queue
  • Implementing Multi-Element Membership Checking
  • Implementing a Stack
  • Opening a File and Printing its Content
  • Generating Arrays Using arange and linspace
  • Multiplying Two Arrays
  • Adding Two NumPy Arrays
  • Creating a NumPy Array
  • Filtering Elements from a Matrix
  • Stacking Arrays
  • Subsetting a DataFrame
  • Grouping a DataFrame
  • Dropping the Missing Values
  • Replacing Missing Values in a DataFrame
  • Joining DataFrames
  • Concatenating Data Frames
  • Counting Values
  • Bypassing the Headers of a CSV File
  • Reading Data from a CSV File
  • Stacking URLs from a Document Using bs4
  • Counting Tags
  • Using the zip Function
  • Using a One-Liner Generator Expression
  • Using a Generator Expression
  • Using the format Function
  • Using a Box Plot
  • Checking the Status of the Web Request
  • Extracting Text from a Section
  • Traversing an XML Tree
  • Checking Whether the Input String Begins with a Specific Word
  • Matching Pattern
  • Finding the Number of Words in a List That End with ing
  • Deleting the Data
  • Using Joins
  • Using the Foreign Key
  • Updating Data
  • Using the ORDER BY Clause
  • Using the SELECT Statement
  • Skipping the First Row of the Data Set

Optional Volunteer Externship Opportunity

Learners who complete this program are eligible to participate in an optional volunteer externship opportunity with a local company/agency/organization whose work aligns with this area of study in order to gain valuable hands-on experience.  As learners progress through their eLearning program, an Externship Coordinator will reach out to coordinate placement.

Note: Additional documentation including health records, immunizations, drug-screening, criminal background checks, etc. may be required by the externship facility.

Aldehydes and Ketones - Reactions of Carboxylic Acid Derivatives - Reactions of ?, ?- Unsaturated Carbonyl Compounds
Many different professionals who work in science, education, and health industries require a foundational knowledge of organic chemistry concepts to understand and perform tasks in their daily responsibilities.. Specifically, this badge demonstrates the earner's ability to compare and contrast the reactions of carboxylic acids and carboxylic acid derivatives with the reactions of aldehydes and ketones including their reactions with carbon nucleophiles and hydride ion, and nucleophilic addition and nucleophilic addition-elimination reactions.
Post- And Neo-Freudians: Analytical Psychology, Ego Psychology, Object Relations, And Self Psychology
The Counselor/Therapy Professional credential documents competencies in an understanding of the basic theories, counseling techniques, and intervention strategies needed in order to work with licensed therapists, psychologists, and psychiatrists to meet the needs of clients. These other professionals may not require advanced counseling education and training, but may benefit from having a basic understanding of counseling therapy and intervention concepts. These professionals may include social workers, parole and probation officers, school guidance counselors, and other workers in the criminal and juvenile justice system or other areas. Generally counselors and therapists require a graduate degree in counseling and appropriate training and licensure. Some addiction counseling positions may require only a bachelor’s degree or a specific certification. Requirements differ by position and state. Specifically, this badge demonstrates the earner's ability to describe use of psychological theories and models related to analytical psychology, ego psychology, object relations, and self psychology including basic goals, how these theories are used in treatment, and major theorists and models.
CPT Coding for Respiratory, Cardiovascular, Hemic, Lymphatic, Mediastinum, and Diaphragm Procedures (30,000 Series)
This credential documents competencies including reading medical charts, coding diagnoses using ICD-10-CM, coding medical procedures using CPT, and having familiarity with HCPCS Level II and ICD-10-PCS coding requirements. A general understanding of medical insurance and the medical billing process is also required. Basic knowledge of anatomy and physiology and medical terminology are important to this field. This credential documents the essential skills for a medical coder working in various health settings. The successful medical coder will demonstrate proficiency with coding manuals and have the ability to extract coding information from medical documentation. The medical coder also needs thorough knowledge of anatomy and physiology and medical terminology.
Organic Compounds: Nomenclature, Physical Properties and Representation of Structure
Many different professionals who work in science, education, and health industries require a foundational knowledge of organic chemistry concepts to understand and perform tasks in their daily responsibilities.. Specifically, this badge demonstrates the earner's ability to describe organic compounds including the different families of organic compounds, rules for naming compounds, the structures and physical properties, nomenclature for organic compounds, and the compounds that contain carbon.