Introduction to Data Science in Python (training)

Colleagues, in the “Introduction to Data Science in Python” training you will understand techniques such as lambdas and manipulating csv files, describe common Python functionality and features used for data science, query DataFrame structures for cleaning and processing, and explain distributions, sampling, and t-tests. You will gain high-demand skills in Python Programming, Numpy, Pandas, and Data Cleansing. It introduces learners to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses. Skill-based training modules include: 1) Fundamentals of Data Manipulation with Python, 2) Introduction to Data Science in Python, 3) Basic Data Processing with Pandas, 4) More Data Processing with Pandas, and 5) Answering Questions with Messy Data.

Enroll today (teams & executives are welcome): https://imp.i384100.net/Z66ZZz 

Download your free Data Science  - Career Transformation Guide.

Explore our Data-Driven Organizations Audible and Kindle book series on Amazon:

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

3 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age (Audible) (Kindle) 

Much career success, Lawrence E. Wilson - Data Science Academy (share with your team)

Google Data Analytics Professional Certificate

Colleagues, join over 2.4 million students enrolled in the “Google Data Analytics Professional Certificate” program. You’ll learn in-demand skills, and get AI training from Google experts. Learn at your own pace, no degree or experience required. There are 483,000 open jobs in data analytics with a median entry-level salary of $92,000. This program includes over 180 hours of instruction and hundreds of practice-based assessments, which will help you simulate real-world data analytics scenarios that are critical for success in the workplace. Gain an immersive understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job. Learn key analytical skills (data cleaning, analysis, & visualization) and tools (spreadsheets, SQL, R programming, Tableau). Understand how to clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL and R programming. Learn how to visualize and present data findings in dashboards, presentations and commonly used visualization platforms. Acquire high-demand skills in Data Analysis, Creating case studies, Data Visualization, Data Cleansing, Developing a portfolio, Data Collection, Spreadsheets, Metadata, SQL, Data Ethics, Data Aggregation, Data Calculations, and R Markd. Skill-based training modules address: 1) Foundations: Data, Data, Everywhere, 2) Ask Questions to Make Data-Driven Decisions, 3) Prepare Data for Exploration, 4) Process Data from Dirty to Clean, 5) Analyze Data to Answer Questions, 6) Share Data Through the Art of Visualization, 7) Data Analysis with R Programming, and 8) Google Data Analytics Capstone: Complete a Case Study. 

Enroll today (teams & executives are welcome): https://imp.i384100.net/2arBxM 

Download your free Data Science  - Career Transformation Guide.

Explore our Data-Driven Organizations Audible and Kindle book series on Amazon:

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

3 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age (Audible) (Kindle) 

Much career success, Lawrence E. Wilson - Data Science Academy (share with your team)

SQL Basics for Data Science Specialization

Colleagues, in the “SQL Basics for Data Science Specialization” training you will use SQL commands to filter, sort, & summarize data; manipulate strings, dates, & numerical data from different sources for analysis, assess and create datasets to solve your business questions and problems using SQL, use the collaborative Databricks workspace and create an end-to-end pipeline that reads data, transforms it, and saves the result, and develop a project proposal & select your data, perform statistical analysis & develop metrics, and present your findings and make recommendations. Build high-demand skills involving Data Analysis, SQL, Apache Spark and Delta Lake. Through four progressively more difficult SQL projects with data science applications, you will cover topics such as SQL basics, data wrangling, SQL analysis, AB testing, distributed computing using Apache Spark, Delta Lake and more. Skill-based training lessons include: 1) SQL for Data Science - Identify a subset of data needed from a column or set of columns and write a SQL query to limit to those results, Use SQL commands to filter, sort, and summarize data, Create an analysis table from multiple queries using the UNION operator, and Manipulate strings, dates, & numeric data using functions to integrate data from different sources into fields with the correct format for analysis; 2) Data Wrangling, Analysis and AB Testing with SQL - Validate and clean a dataset, Assess and create datasets to answer your questions, Solve problems using SQL, and Build a simple testing framework to touch on AB Testing; and 3) SQL for Data Science Capstone Project - Develop a project proposal and select your data, Perform descriptive statistics as part of your exploratory analysis, Develop metrics and perform advanced techniques in SQL, and Present your findings and make recommendations.

Enroll today (teams & executives are welcome): https://imp.i384100.net/raaJJ3 

Download your free Software Development - Career Transformation Guide. 

For your reading pleasure consider: 

1 - JavaScript Full Stack Developer: Capture the Job Offer and Advance Your Career (Audible) (Kindle)

2 - AI Software Engineer: ChatGPT, Bard & Beyond (Audible) (Kindle) 

 

3 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age (Audible) (Kindle) 

Much career success, Lawrence E. Wilson - Online Learning Central (share with your team)  

Python for Data Science, AI and Development (IBM)

Colleagues, in the “Python for Data Science, AI and Development” training from IBM you will learn Python - the most popular programming language and for Data Science and Software Development. Apply Python programming logic Variables, Data Structures, Branching, Loops, Functions, Objects & Classes. Demonstrate proficiency in using Python libraries such as Pandas & Numpy, and developing code using Jupyter Notebooks. Access and web scrape data using APIs and Python libraries like Beautiful Soup. Acquire highly marketable skills with Data Science, Data Analysis, Python Programming, Numpy, and Pandas. Learn more about Outcomes, Modules, Recommendations, Testimonials, Reviews, Browse, Data Science, and Data Analysis. This introduction to Python course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn about Python basics and the different data types. You will familiarize yourself with Python Data structures like List and Tuples, as well as logic concepts like conditions and branching. You will use Python libraries such as Pandas, Numpy and Beautiful Soup. You’ll also use Python to perform tasks such as data collection and web scraping with APIs. You will practice and apply what you learn through hands-on labs using Jupyter Notebooks. By the end of this course, you’ll feel comfortable creating basic programs, working with data, and automating real-world tasks using Python. This course is suitable for anyone who wants to learn Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps as well as a number of other job roles. Skill-based lessons include:1) Python Basics, 2) Python Data Structures, 3) Python Programming Fundamentals, 4) Working with Data in Python, and 5) APIs and Data Collection. 

Enroll today (teams & executives are welcome): https://imp.i384100.net/dOOy2Q

Download your free Data Science  - Career Transformation Guide.

Explore our Data-Driven Organizations Audible and Kindle book series on Amazon:

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

3 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age (Audible) (Kindle) 

Much career success, Lawrence E. Wilson - Data Science Academy (share with your team)

Databases and SQL for Data Science with Python (training)

Colleagues, in the “Databases and SQL for Data Science with Python” program you will learn to analyze data within a database using SQL and Python, create a relational database and work with multiple tables using DDL commands, construct basic to intermediate level SQL queries using DML commands, and compose more powerful queries with advanced SQL techniques like views, transactions, stored procedures, and joins. Acquire high-demand skills in Python Programming, Cloud Databases, Relational Database Management System (RDBMS), SQL, and Jupyter notebooks. You will write foundational SQL statements like: SELECT, INSERT, UPDATE, and DELETE, filter result sets, use WHERE, COUNT, DISTINCT, and LIMIT clauses, differentiate between DML & DDL, CREATE, ALTER, DROP and load tables, use string patterns and ranges; ORDER and GROUP result sets, and built-in database functions, build sub-queries and query data from multiple tables, access databases as a data scientist using Jupyter notebooks with SQL and Python, and work with advanced concepts like Stored Procedures, Views, ACID Transactions, Inner & Outer JOINs through hands-on labs and projects. Skill-based training lessons include: 1) Getting Started with SQL, 2) Introduction to Relational Databases and Tables, 3) Intermediate SQL, 4) Accessing Databases using Python, 5) Course Assignment - Project, and 6) Advanced SQL for Data Engineer. 

Enroll today (teams & executives are welcome): https://imp.i384100.net/jerxq6 

Download your free Data Science  - Career Transformation Guide.

Explore our Data-Driven Organizations Audible and Kindle book series on Amazon:

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

3 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age (Audible) (Kindle) 

Much career success, Lawrence E. Wilson - Data Science Academy (share with your team)

Data Analysis with R Programming

Colleagues, join over 612k students enrolled in the “Data Analysis with R Programming” course that is part of the Google Data Analytics Certificate program. Describe the R programming language and its programming environment. Explain the fundamental concepts associated with programming in R including functions, variables, data types, pipes, and vectors. Describe the options for generating visualizations in R. Demonstrate an understanding of the basic formatting in R Markdown to create structure and emphasize content. Gain high-demand skills involving Data Analysis, R Markdown, Data Visualization, R Programming and Rstudio. Skill-based training lessons cover: 1) Programming and data analytics, 2) Programming using RStudio, 3) Working with data in R, 4) More about visualizations, aesthetics, and annotations, and 5) Documentation and reports. 

Enroll today (teams & executives are welcome): http://imp.i384100.net/Z6deaX 

Download your free Data Science  - Career Transformation Guide.

Explore our Data-Driven Organizations Audible and Kindle book series on Amazon:

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

3 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age (Audible) (Kindle) 

Much career success, Lawrence E. Wilson - Data Science Academy (share with your team)

Data Science Specialization (John Hopkins University)

DS colleagues, in the “Data Science Specialization” 10 course program you will learn Use R to clean, analyze, and visualize data, Navigate the entire data science pipeline from data acquisition to publication, Use GitHub to manage data science projects and Perform regression analysis, least squares and inference using regression models. Gain high-demand and highly marketable skills with GitHub, Machine Learning, R Programming and Regression Analysis. This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material. Skill-based training modules include: 1) The Data Scientist’s Toolbox, 2) R Programming, 3) Getting and Cleaning Data, 4) Exploratory Data Analysis, 5) Reproducible Research, 6) Statistical Inference, 7) Regression Models, 8) Practical Machine Learning, 9) Developing Data Products, and 10) Data Science Capstone.

Enroll today (teams & executives are welcome): https://imp.i384100.net/y20m12

Download your free Data Science  - Career Transformation Guide.

Explore our Data-Driven Organizations Audible and Kindle book series on Amazon:

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

3 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age (Audible) (Kindle) 

Much career success, Lawrence E. Wilson - Data Science Academy (share with your team)