Microsoft Power BI Data Analyst Professional Certificate (Exam PL-300)

Colleagues, launch your career with the “Microsoft Power BI Data Analyst Professional Certificate (Exam PL-300)”. Build job-ready skills and must-have AI skills for an in-demand career. Earn a credential from Microsoft. No prior experience required. Microsoft Power BI is the leading data analytics, business intelligence, and reporting tool in the field, used by 97% of Fortune 500 companies to make decisions based on data-driven insights and analytics.Learn to use Power BI to connect to data sources and transform them into meaningful insights. Prepare Excel data for analysis in Power BI using the most common formulas and functions in a worksheet. Learn to use the visualization and report capabilities of Power BI to create compelling reports and dashboards. Demonstrate your new skills with a capstone project and prepare for the industry-recognized Microsoft PL-300 Certification exam. You will acquire highly marketable skills involving Generative AI in Power BI, Data Analysis, Microsoft Excel, SQL, Power BI and Power Query. Lessons in this program will equip you in: 1) Preparing Data for Analysis with Microsoft Excel, 2) Harnessing the Power of Data with Power BI, 3) Extract, Transform and Load Data in Power BI, 4) Data Modeling in Power BI, 5) Data Analysis and Visualization with Power BI, 6) Creative Designing in Power BI, 6) Deploy and Maintain Power BI Assets and Capstone project, and 7) Microsoft PL-300 Exam Preparation and Practice.

Enroll today (teams & executives are welcome): https://imp.i384100.net/0ZLZ7P 

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)

Much career success, Lawrence E. Wilson - AI Academy (share with your team) https://tinyurl.com/hh7bf4m9 

“The Data Driven Organizations” Audio and eBook series make a wonderful Christmas gift!

Christmas Bonanza - Audible & Kindle Book Series (Amazon)

Data-Driven Organizations: 

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

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

Merry Christmas. Order today, Genesys Digital (Amazon Author Page) https://tinyurl.com/hh7bf4m9 

Professional Certification in Data Science (HarvardX)

Colleagues, in the “Professional Certification in Data Science” program from HarvardX you will learn the fundamental R programming skills, statistical concepts such as probability, inference, and modeling and how to apply them in practice, gain experience with the tidyverse, including data visualization with ggplot2 and data wrangling with dplyr, become familiar with essential tools for practicing data scientists such as Unix/Linux, git and GitHub, and RStudio, implement machine learning algorithms, and gain an in-depth knowledge of fundamental data science concepts through motivating real-world case studies. This program covers concepts such as probability, inference, regression, and machine learning and helps you develop an essential skill set that includes R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with Unix/Linux, version control with git and GitHub, and reproducible document preparation with RStudio. In each course, we use motivating case studies, ask specific questions, and learn by answering these through data analysis. Case studies include: Trends in World Health and Economics, US Crime Rates, The Financial Crisis of 2007-2008, Election Forecasting, Building a Baseball Team (inspired by Moneyball), and Movie Recommendation Systems. Skill-based training modules include: 1) R Basics, 2) Visualization, 3) Probability, 4) Inference and Modeling, 4) Productivity Tools, 5) Wrangling, 6) Linear Regression, 7) Machine Learning, and 8) Capstone Project.

Enroll today (teams & executives are welcome): https://edx.sjv.io/9LVMxy 

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)

IBM Data Engineering Professional Certificate

Colleagues, the “IBM Data Engineering Professional Certificate” will prepare you for a career as a Data Engineer. Build job-ready skills – and must-have AI skills – for an in-demand career. Earn a credential from IBM. No prior experience required. Master the most up-to-date practical skills and knowledge data engineers use in their daily roles. Learn to create, design, & manage relational databases & apply database administration (DBA) concepts to RDBMSs such as MySQL, PostgreSQL, & IBM Db2. Develop working knowledge of NoSQL and Big Data using MongoDB, Cassandra, Cloudant, Hadoop, Apache Spark, Spark SQL, Spark ML, and Spark Streaming. Implement ETLand Data Pipelines with Bash, Airflow & Kafka; architect, populate, deploy Data  Warehouses; create BI reports & interactive dashboards. Acquire highly valuable skills in Generative AI. This program will teach you the foundational data engineering skills employers are seeking for entry level data engineering roles, including Python, one of the most widely used programming languages. You’ll also master SQL, RDBMS, ETL, Data Warehousing, NoSQL, Big Data, and Spark with hands-on labs and projects. You’ll learn to use Python programming language and Linux/UNIX shell scripts to extract, transform and load (ETL) data. You’ll work with Relational Databases (RDBMS) and query data using SQL statements and use NoSQL databases as well as unstructured data. You'll also learn how generative AI tools and techniques are used in data engineering. Upon completion, you’ll have a portfolio of projects and a Professional Certificate from IBM to showcase your expertise. Training lessons address: 1) Introduction to Data Engineering, 2) Python for Data Science, AI & Development, 3) Python Project for Data Engineering, 4) Introduction to Relational Databases (RDBMS), 5) Databases and SQL for Data Science with Python, 6) Hands-on Introduction to Linux Commands and Shell Scripting, 7) Relational Database Administration (DBA), 8) ETL and Data Pipelines with Shell, Airflow and Kafka, 9) Data Warehouse Fundamentals, 10) BI Dashboards with IBM Cognos Analytics and Google Looker, 11) Introduction to NoSQL Databases, 12) Introduction to Big Data with Spark and Hadoop, 13) Machine Learning with Apache Spark, 14) Data Engineering Capstone Project, 15) Generative AI: Elevate your Data Engineering Career, and 16) Data Engineering Career Guide and Interview Preparation.

Enroll today (teams & executives are welcome): https://imp.i384100.net/Wyy11e

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)

Applied Data Science with Python Specialization

Colleagues, the “Applied Data Science with Python Specialization” will equip you to apply data science methods and techniques, and acquire analysis skills. Conduct an inferential statistical analysis. Discern whether a data visualization is good or bad. Enhance data analysis with applied machine learning. Analyze the connectivity of a social network. Develop highly marketable skills in Text Mining, Python Programming, Pandas, and Matplotlib. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data. Training modules cover: 1) Introduction to Data Science in Python, 2) Applied Plotting, Charting & Data Representation in Python, 2) Applied Machine Learning in Python, 3) Applied Text Mining in Python, and 4) Applied Social Network Analysis in Python. 

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

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)

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)