Data Science - Career Transformation Guide

Colleagues, the new Data Science - Career Transformation Guide (2022 v2) includes valuable resources that enable you to accelerate your career growth and income potential - Salaries (demand and growth), Certifications and Training programs, Publications and Portals along with Professional Communities and Networking forums. This guide focuses on Data Science, Big Data, Analytics, Pandas and Jupyter Notebooks along with the tools and technologies to perform these functions including Python, R, Probability and Statistics, Google BigQuery, SQL, Hadoop and Tableau. The Global Knowledge 2021 IT Salary Survey ranks Google Certified Professional Data Engineer $171,749 USD #1 out of all certifications. Indeed.com lists some 599,779+ Data Scientist positions in the United States alone. Our three-fold career advancement strategy is to Get Certified, Get Published and Get Connected. Success awaits you.

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Top 10 Python Developer Certification & Training Programs (#5)

Colleagues, #5 on our Top 10 Countdown is the Data Visualization with Python program. You will learn  several essential data visualization techniques, when to use them, and how to implement them with Python and Matplotlib. Gain thorough knowledge of data visualization. In this course, Introduction to Data Visualization with Python, you'll learn how to use several essential data visualization techniques to answer real-world questions. First, you'll explore techniques including scatter plots. Next, you'll discover line charts and time series. Finally, you'll learn what to do when your data is too big. When you're finished with this course, you'll have a foundational knowledge of data visualization that will help you as you move forward to analyze your own data. Training modules include: 1) Introduction to Jupyter, Pandas, and Matplotlib, 2) Finding Distribution of Data with Histograms, 3) Creating Time Series with Line Charts, 4) Examining Relationships in Data with Scatter Plots, 5) Comparing Data with Bar Graphs, 6) What to Do When Your Data Is Too Big, and 7) Solving Real-world Problems with Visualization. Skill-based training modules include: 1) Introduction to Jupyter, Pandas, and Matplotlib, 2) Finding Distribution of Data with Histograms, 3) Creating Time Series with Line Charts, 4) Examining Relationships in Data with Scatter Plots, 5) Comparing Data with Bar Graphs, 6) What to Do When Your Data Is Too Big, and 7) Solving Real-world Problems with Visualization.

Enroll today (teams & execs welcome): https://tinyurl.com/3rnen3u9  

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Top 10 Countdown - Machine Learning Certification & Training Programs (#5)

Colleagues, #5 on our Top 10 Countdown is the Machine Learning Engineering Career Track Program.  Learn to deploy ML Algorithms and build your own portfolio. More than 50% of the Springboard curriculum is focused on production engineering skills. In this course, you'll design a machine learning/deep learning system, build a prototype and deploy a running application that can be accessed via API or web service.  The 500+ hour curriculum features a combination of videos, articles, hands-on projects, and career-related coursework.  Skill-based training modules include: 1) Battle-Tested Machine Learning Models, 2) Deep Learning, 3) Computer Vision and Image Processing, 4) The Machine Learning Engineering Stack, 5) ML Models At Scale and In Production, 6) Deploying ML Systems to Production, and 7) Working With Data. You will build a realistic, complete, ML application that’s available to use via an API, a web service or, optionally, a website. One-on-one Mentorship provides you with weekly guided calls with your personal mentor, an industry expert. Our career coaching calls will help your mentor. Create a successful job search strategy, Build your Machine Learning Engineering network, Find the right job titles and companies, Craft a Machine Learning Engineer resume and LinkedIn profile, Ace the job interview and Negotiate your salary. 

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

 

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Data Science - Top 10 Countdown of Certification & Training Programs (#3)

Colleagues, #3 on our Top 10 Countdown is the Data Science Certification Course using R.  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. Skill-based training modules include: Introduction to Data Science with R, Statistical Inference, Data Extraction, Wrangling and Exploration, Introduction to Machine Learning, Classification Techniques, Unsupervised Learning, Recommender Engines, Text Mining, Time Series and Deep Learning. Skill-based training modules include: 1) Statistical Inference, 2) Data Extraction, Wrangling and Exploration, 3) Introduction to Machine Learning, 4) Classification Techniques, 5) Unsupervised Learning, 6) Recommender Engines, 7) Text Mining, 8) Time Series, and 9) Deep Learning.

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

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Python - The Engine that Drives Data-Driven Organizations

CIOs & CTOs, the US Data Science Institute’s article entitled “Is Python Still the Language of Data Science in 2022?” concluded “Python provides immense functionality to deal with mathematics, statistics, and scientific function. According to the TIOBE Index, which ranks programming languages based on their popularity, Python ranked in the number 2 slot. It is also the fastest-rising programming language in the top 50. Worldwide, Python is the most popular language which grew the most in the last five years i.e. 17.6%. Python already leads the Pypl Popularity of Programming Language index, which analyzes how often language tutorials are searched in Google. The language was ranked second in June 2021, just behind JavaScript.”

Moreover, the new Python, R, TensorFlow and PyTorch  - Career Transformation Guide includes valuable information that enables you to accelerate your career growth and income potential - Career opportunities, Salaries (demand and growth), Certifications and Training programs, Publications and Portals along with Professional Forums and Communities. The Certification and Training programs are categorized by Python, R, TensorFlow and PyTorch. The average salary for Python Developers in the US is $111,225 according to CareerFoundry. Salary.com reports the media salary for Python Developers across the US is $95,120 USD. For Python Developers with formal training and expertise in TensorFlow and/or PyTorch mathematical libraries AIA projects an additional 3%-5%+ positive income delta is quite realistic. Therefore, the Artificial Intelligence Academy highly recommends that Python Developers also acquire TensorFlow and/or PyTorch training and certification. Analytics Insight project demand for Python developers to rank #1 among all programming languages in 2023.

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Data Science Roadmapping - Unlocking the value of a Data-Driven Organization

CIO & COOs, ScienceDirect’s article “Data Science Roadmapping: An Architectural Framework for Facilitating Transformation Towards a Data-Driven Organization” (January 2022) states that “Leveraging data science can enable businesses to exploit data for competitive advantage by generating valuable insights. However, many industries cannot effectively incorporate data science into their business processes, as there is no comprehensive approach that allows strategic planning for organization-wide data science efforts and data assets. Accordingly, this study explores the Data Science Roadmapping (DSR) to guide organizations in aligning their business strategies with data-related, technological, and organizational resources … The results indicate that the framework facilitates DSR initiatives by creating a comprehensive roadmap capturing strategy, data, technology, and organizational perspectives. “

Accordingly, the new Data Science - Career Transformation Guide (2022 v2) includes valuable resources that enable CIOs and COOs you to upskill your teams and adopt a DSR strategy - Salaries (demand and growth), Certifications and Training programs, Publications and Portals along with Professional Communities and Networking forums. This guide focuses on Data Science, Big Data, Analytics, Pandas and Jupyter Notebooks along with the tools and technologies to perform these functions including Python, R, Probability and Statistics, Google BigQuery, SQL, Hadoop and Tableau. The Global Knowledge 2021 IT Salary Survey ranks Google Certified Professional Data Engineer $171,749 USD #1 out of all certifications. Indeed.com lists some 599,779+ Data Scientist positions in the United States alone. Our three-fold career advancement strategy is to Get Certified, Get Published and Get Connected. 

Review and enroll today (teams & execs are welcome). 

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Deep Mind’s AlphaZero Game Playing AI - Reduces Compute Time, Cuts Costs & Saves Energy

CIOs & CTOs, the MIT Technology Review reported on October 5, 2022 reported that “DeepMind’s game-playing AI AlphaZero has beaten a 50-year-old record in computer science. DeepMind has used its board-game playing AI to discover a faster way to solve a fundamental math problem in computer science, beating a record that has stood for more than 50 years. The problem, matrix multiplication, is a crucial type of calculation at the heart of many different applications, from displaying images on a screen to simulating complex physics. It is also fundamental to machine learning itself. Speeding up this calculation could have a big impact on thousands of everyday computer tasks, cutting costs and saving energy.” 

Moreover, the updated Artificial Intelligence-Machine Learning-Deep Learning - Career Transformation Guide includes valuable information that enables  CIOs to accelerate your career growth and income potential - Career opportunities, Salaries (demand and growth), Certifications and Training programs, Publications and Portals along with Professional Forums and Communities. The Certification and Training programs are categorized by Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing and Computer Vision. Glassdoor estimates the average salary for a Machine Learning Engineer at $131,001 USD. Indeed lists 2091  openings with an averMachine Learning Engineer age nationwide salary of $131,276 USD. The San Francisco Bay Area is the high-end of the salary range at $193,485 with Eden Prairie, Minnesota at $106,780. SimplyHired now has 868,669 Computer Vision career listings alone. Seize the opportunity. Success awaits you!

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Top 10 Machine Learning Certification & Training Programs (#6)

Colleagues, #6 on our Top 10 Countdown is the Machine Learning with Python for Everyone (Parts 1-3) program. Turn introductory machine learning concepts into concrete code using Python, Scikit-learn, and friends. Our focus is on stories, graphics, and code that build your understanding of machine learning; we minimize pure mathematics. You learn how to load and explore simple datasets; build, train, and perform basic learning evaluation for a few models; compare the resource usage of different models in code snippets and scripts; and briefly explore some of the software and mathematics behind these techniques. Part I - Software, Mathematics, Classification, Regression, Part II - Evaluating Learning Performance, Classifiers, Regressors, and Part  III - Classification Methods, Regression Methods, Manual Feature Engineering, Hyperparameters and Pipelines. Build and apply simple classification and regression models, evaluate learning performance with train-test splits, assess learning performance with metrics tailored to classification and regression, and examine the resource usage of your learning models.

Enroll today (teams & execs welcome): https://tinyurl.com/wwajjs2j 

 

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