Foundations: Data, Data, Everywhere (Google certification program)

Colleagues, the “Foundations: Data, Data, Everywhere” training program is part of Google Data Analytics Professional Certificate. Define and explain key concepts involved in data analytics including data, data analysis, and data ecosystems. Conduct an analytical thinking self assessment giving specific examples of the application of analytical thinking. Discuss the role of spreadsheets, query languages, and data visualization tools in data analytics. Describe the role of a data analyst with specific reference to jobs. Acquire highly marketable skills in Spreadsheet, Data Analysis, SQL, Data Visualization and Data Cleansing. You will: Gain an understanding of the practices and processes employed by a junior or associate data analyst in their day-to-day job. Learn about key analytical skills (data cleaning, data analysis, data visualization) and tools (spreadsheets, SQL, R programming, Tableau) that you can add to your professional toolbox. Discover a wide variety of terms and concepts relevant to the role of a junior data analyst, such as the data life cycle and the data analysis process. Evaluate the role of analytics in the data ecosystem. Conduct an analytical thinking self-assessment. And Explore job opportunities available to you upon program completion, and learn about best practices you can leverage during your job search. Skill-based training lessons address: 1) Introducing data analytics and analytical thinking, 2) The wonderful world of data, 3) Set up your data analytics toolbox, and 4) Become a fair and impactful data professional.

Enroll today (teams & execs welcome): https://imp.i384100.net/y2nZDB 

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Much career success, Lawrence E. Wilson - Data Science Academy (subscribe & share)

Tools for Data Science (IBM)

Colleagues, the “Tools for Data Science” program from IBM will equip you to describe the Data Scientist’s tool kit which includes: Libraries & Packages, Data sets, Machine learning models, and Big Data tools, utilize languages commonly used by data scientists like Python, R, and SQL, demonstrate working knowledge of tools such as Jupyter notebooks and RStudio and utilize their various features, and create and manage source code for data science using Git repositories and GitHub. Gain high-demand skills in Data Science, Python Programming, Github, Rstudio and Jupyter notebooks. You will become familiar with the Data Scientist’s tool kit which includes: Libraries & Packages, Data Sets, Machine Learning Models, Kernels, as well as the various Open source, commercial, Big Data and Cloud-based tools. Work with Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. You will understand what each tool is used for, what programming languages they can execute, their features and limitations.  Skill-based training lessons include: 1) Overview of Data Science Tools, 2) Languages of Data Science, 3) Packages, APIs, Data Sets, and Models, 4) Jupyter Notebooks and JupyterLab, 5) RStudio & GitHub, 6) Create and Share your Jupyter Notebook, and 7)  IBM Watson Studio. 

Enroll today (teams & executives are welcome): http://imp.i384100.net/21Gr3A 

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 Analyst Professional Certificate

Colleagues, in the “IBM Data Analyst Professional Certificate” you will master the most up-to-date practical skills and tools that data analysts use in their daily roles, learn how to visualize data and present findings using various charts in Excel spreadsheets and BI tools like IBM Cognos Analytics & Tableau, develop working knowledge of Python language for analyzing data using Python libraries like Pandas and Numpy, and invoke APIs and Web Services, gain technical experience through hands on labs and projects and build a portfolio to showcase your work, prepare for a career in the high-growth field of data analytics. Gain in-demand skills like Python, Excel, and SQL along with Excel spreadsheets, Python, Pandas, Numpy, Jupyter Notebooks, Cognos Analytics, and more. You’ll work with a variety of data sources and project scenarios to gain practical experience with data manipulation and applying analytical skills. You'll also have the option to learn how generative AI tools and techniques are used in data analysis. Skill-based training modules include: 1) Introduction to Data Analytics, 2) Excel Basics for Data Analysis, 3) Data Visualization and Dashboards with Excel and Cognos, 4) Python for Data Science, AI & Development, 5) Python Project for Data Science, 6) Databases and SQL for Data Science with Python, 7) Data Analysis with Python, 8) Data Visualization with Python, 9) IBM Data Analyst Capstone Project, 10) Generative AI: Enhance your Data Analytics Career, and 11) Data Analyst Career Guide and Interview Preparation.

Enroll today (teams & executives are welcome): https://imp.i384100.net/EKn2kP 

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)

Discover the Top 3 Data Science Certifications

Colleagues, here are our top 3 picks for the best Data Science certifications needed to advance your career and income potential. First up is the Google Data Analytics Professional Certificate. Get on the fast track to a career in Data Analytics. In this 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. Next is the IBM Data Science Professional Certificate. You will prepare for a career as a data scientist. Build job-ready skills – and must-have AI skills – for an in-demand career. Earn a credential from IBM. And third is the Data Scientist Certification from DataCamp. You will be equipped to collect, analyze and interpret large amounts of data using machine learning and AI when needed. You will also need to effectively communicate the results of your analysis to business stakeholders.

Enroll today (teams & executives are welcome). Let your DS journey begin:

Google Data Analytics Professional Certificate: (https://imp.i384100.net/Y9X74O) 

IBM Data Science Professional Certificate (https://imp.i384100.net/q4QYNn) 

Data Scientist Certification from DataCamp (https://datacamp.pxf.io/DKY71y)

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 (Google)

Colleagues, the Data Analysis with R Programming training will teach you how to use RStudio, the environment that allows you to work with R, and the software applications and tools that are unique to R, such as R packages. This course is part of Google Data Analytics Professional Certificate program. You’ll discover how R lets you clean, organize, analyze, visualize, and report data in new and more powerful ways. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources. 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. Obtain crucial skills in Data Analysis, R Markdown, Data Visualization, R Programming and RStudio. Training modules include: 1) Programming and data analytics - Introduction to the exciting world of programming, Fun with R, Carrie: Getting started with R•3 minutes, Programming languages, Introduction to R, Intro to RStudio, 2) Programming using RStudio - Programming using RStudio, Programming fundamentals, Operators and calculations, The gift that keeps on giving, Welcome to the tidyverse, Use pipes to nest code, Connor: Coding tips, 3) Working with data in R - Data in R, R data frames, Working with data frames, Cleaning up with the basics, Organizing your data, Transforming data, Same data, different outcome, The bias function, 4) More about visualizations, aesthetics, and annotations - Visualizations in R•2 minutes, Visualization basics in R and tidyverse, Getting started with ggplot, Joseph: Career path to people analytics, Enhancing visualizations in R, Doing more with ggplot, Aesthetics and facets, Annotation layer, Saving your visualizations, 5) Documentation and Reports - Documentation and reports, Overview of R Markdown, Using R Markdown in RStudio, Structure of markdown documents, Meg: Programming is empowering, Code chunks and Exporting documentation.

Enroll today (teams & executives are welcome): http://imp.i384100.net/Py5MLN 

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 Certification with R

Colleagues, Glassdoor estimate the average salary of US-based Data Scientists at $118,088+. This Data Science with R certification training lets you gain expertise in Machine Learning Algorithms such as K-Means Clustering, Decision Trees, Random Forest, and Naive Bayes using R. This Data Science with R  Training encompasses a conceptual understanding of Statistics, Time Series, Text Mining and an introduction to Deep Learning. Throughout the R Programming Course, you will implement real-life use-cases on Media, Healthcare, Social Media, Aviation and HR. The curriculum addresses: 1) Introduction to Data Science with R - see how Data Science helps to analyze large and unstructured data with different tools, 2) Statistical Inference - learn statistical techniques and terminologies used in data analysis, 3) Statistical Inference - statistical techniques and terminologies used in data analysis, 4) Data Extraction, Wrangling and Exploration - sources available to extract data, arrange the data in structured form, analyze the data, and represent the data in a graphical format, 4) Introduction to Machine Learning - categories of Machine Learning and implement Supervised Learning Algorithms, 5)  Classification Techniques - Supervised Learning Techniques and the implementation of various techniques, such as Decision Trees, Random Forest Classifier, 6) Unsupervised Learning - various types of clustering that can be used to analyze the data, 6) Recommender Engines - association rules and different types of Recommender Engines, 7) Text Mining - Unsupervised Machine Learning Techniques and the implementation of different algorithms, for example, TF-IDF and Cosine Similarity, 8) Time Series - data, different component of Time Series data, Time Series modeling - Exponential Smoothing models and ARIMA model for Time Series Forecasting, and 9)  Deep Learning - learn the oncepts of Reinforcement learning and Deep learning in this module. These concepts are explained with the help of Use cases. You will get to discuss Artificial Neural Network, the building blocks for Artificial Neural Networks, and Artificial Neural Network terminologies. 

Enroll today (teams & execs welcome): https://fxo.co/EFzP 

Down your complimentary Data Science - Career Transformation Guide.

Much career success, Lawrence E. Wilson - Data Science Academy (subscribe & share)

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