Natural Language Processing with Python Certification

Dev colleagues, the Natural Language Processing with Python Certification program covers  NLP and Python Programming - Tokenization, Stemming, Lemmatization, POS tagging, Named Entity Recognition, and Syntax Tree Parsing  using Python’s most famous NLTK package. Skill-based training modules include: 1)  Overview of Text Mining - Need of Text Mining, Natural Language Processing (NLP) in Text Mining, Applications of Text Mining, OS Module, Reading, Writing to text and word files, Setting the NLTK Environment and Accessing the NLTK Corpora. Moreover, hands-on lab exercises cover: Installing NLTK Packages using NLTK Downloader, Accessing your operating system using the OS Module in Python, Reading & Writing .txt Files from/to your Local as well as .docx Files from/to your Local, and Working with the NLTK Corpora. {Edureka}

Enroll today (teams & execs welcome): https://fxo.co/9b4a 

Download your free AI-ML-DL - Career Transformation Guide.

“Transformative Innovation” book series for your listening-reading pleasure: 

 

1 - ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity (Audible) (Kindle)

2 - ChatGPT - The Era of Generative Conversational AI Has Begun (Audible) (Kindle) 

3 - The Race for Quantum Computing  (Audible) (Kindle) 

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

#python #nlp #naturallanguageprocessing #quantum #chatgpt #ai #generativeai #asi #agi #singularity #nltk #aiacademy #Tokenization #Stemming #Lemmatization #POStagging #NamedEntityRecognition #SyntaxTreeParsing #textmining

Consider the “Data Driven Organizations” Amazon Audible & Kindle Book Series from Genesys Digital

Consider the “Data Driven Organizations” Amazon Audible & Kindle Book Series from Genesys Digital

Data-Driven Organizations book series: 

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

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

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

Data Science Career Transformation Guide (2024 v1)

The new Data Science Career Transformation Guide includes valuable information that enables you to accelerate your career growth and income potential - Careers, Salaries, 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 the technologies to perform these functions including Python, R, dplyr, Probability and Statistics, Google BigQuery, SQL, Hadoop and Tableau.

Based upon the article “The 20 Top-Paying IT Certifications Going into 2024” Skillsoft identifies two Data Science-related certifications among the highest compensated credentials: 

• Rank #2: Google Cloud Professional - Data Engineer (Average Annual Salary: $193,621)

• Rank #7: Google Cloud Professional - Database Engineer (Average Annual Salary: $163,193)

Indeed.com lists some 599,779+ Data Scientist positions in the United States alone. 

There are three critical success factors in our career transformation model. First, Get Trained and Certified. Professionals with best in-class skill sets combined with industry-leading certifications advance more rapidly than your peers and typically earn 3%-5% above their colleagues. Second, Get Published. Relevant, succinct and insightful articles on best practices in your technical domain or functional discipline enhance your credibility and integrity. And third, Get Connected. Developing and maintaining a robust professional network - locally and globally - bolsters your career persona and positions you as the “go to” subject matter expert in your field.

Download your free Data Science - Career Transformation Guide.

“Data-Driven Organizations”  book series for your listening-reading pleasure: 

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)

Big Data Architect Masters Program

Colleagues, the Big Data Architect Masters Program you will gain proficiency in tools and systems used by Big Data experts. This Big Data Engineer Course  includes training on Hadoop and Spark stack, Cassandra, Talend and Apache Kafka messaging system. The curriculum of our Big Data Engineering Courses has been determined by extensive research on 5000+ job descriptions across the globe. Edureka's comprehensive Big Data Engineer training course is designed by Industry top experts with real time project experience.  Training modules equip you in: 1) Java Essentials - training designed on one of the most popular platform ‘Java’, to train you on its basic concepts of Java and gain an entry into the programming world as a Java Developer, 2) Big Data Hadoop Certification Training- is curated by Hadoop industry experts, and it covers in-depth knowledge on Big Data and Hadoop Ecosystem tools such as HDFS, YARN, MapReduce, Hive, Pig, HBase, Spark, Oozie, Flume and Sqoop. Throughout this online instructor-led Hadoop Training, you will be working on real-life industry use cases in Retail, Social Media, Aviation, Tourism and Finance domain using Edureka's Cloud Lab, 3) Apache Spark and Scala Certification Training - prepares you for the Cloudera Hadoop and Spark Developer Certification Exam (CCA175). You will get an in-depth knowledge on Apache Spark and the Spark Ecosystem, which includes Spark RDD, Spark SQL, Spark MLlib and Spark Streaming. You will get comprehensive knowledge on Scala Programming language, HDFS, Sqoop, FLume, Spark GraphX and Messaging System such as Kafka, 4) Apache Cassandra Certification Training - is designed by professionals as per the industry requirements and demands. This Cassandra Certification Training helps you to master the concepts of Apache Cassandra including Cassandra Architecture, its features, Cassandra Data Model, and its Administration. Throughout the Cassandra course, you will learn to install, configure, and monitor Cassandra, along with its integration with other Apache frameworks like Hadoop, Spark, and Kafka, and 5) Talend Certification Training For Big Data Integration - Designed to meet the industry benchmarks, Edureka’s  Talend certification training for Big Data is curated by top industry experts. This Talend certification course is created to help you learn how to use Talend Open Studio to simplify Big Data Integration. This Talend Data integration certification is live, instructor-led & helps you master key Talend concepts, with hands-on demonstrations. This course is fully immersive where you can learn and interact with the instructor and your peers. Enroll now in this Talend online course & be a professional Talend certified developer , and 6) Apache Kafka Certification Training Course - learn  the concepts about Kafka Architecture, Configuring Kafka Cluster, Kafka Producer, Kafka Consumer, Kafka Monitoring. The Apache Kafka training course is designed to provide insights into Integration of Kafka with Hadoop, Storm and Spark, understand Kafka Stream APIs, and implement Twitter Streaming with Kafka.

Enroll today (teams & execs welcome): https://fxo.co/Esq4 

Download your free Data Science - Career Transformation Guide.

“Data-Driven Organizations”  book series for your listening-reading pleasure: 

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)

#bigdata #hadoop  #datascience #statistics #certification #probability #python #r #kaggle #aiacademy #audible #kindle #businessintelligence #dataengineer #datascientist #datawrangling #eda #datavix #deeplearning #machinelearning

MicroMasters® Program in Statistics and Data Science

Colleagues, in the MicroMasters® Program in Statistics and Data Science program you will master the foundations of data science, statistics, and machine learning. Analyze big data and make data-driven predictions through probabilistic modeling and statistical inference; identify and deploy appropriate modeling and methodologies in order to extract meaningful information for decision making. Develop and build machine learning algorithms to extract meaningful information from seemingly unstructured data; learn popular unsupervised learning methods, including clustering methodologies and supervised methods such as deep neural networks. Completing thisMicroMasters program will prepare you for job titles such as: Data Scientist, Data Analyst, Business Intelligence Analyst, Systems Analyst and Data Engineer. Skill-based training modules include: 1) Probability - The Science of Uncertainty and Data, Fundamentals of Statistics, 2) Machine Learning with Python: from Linear Models to Deep Learning, 3) Capstone Exam in Statistics and Data Science, 4) Data Analysis in Social Science - Assessing Your Knowledge, 5) Data Analysis: Statistical Modeling and Computation in Applications. This program also includes the Certification Exam as well as valuable details on the Job Outlook for Data Scientists. {MITx}

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

Download your free Data Science - Career Transformation Guide.

“Data-Driven Organizations”  book series for your listening-reading pleasure: 

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)

AI Jobs Pay An Average of $146,244+ with 69,045 Openings in the US Alone

Colleagues, the CNBC article “U.S. companies are on a hiring spree for A.I. jobs—and they pay an average of $146,000+” (July 13, 2023). This article cited recent data from research firm Adzuna that goes on to state there are “69,045 jobs in the U.S. cited AI needs, and 3,575 called for generative AI work in particular … the average job using the skill pays $146,244.” 

The new ebook “AI Software Engineer - ChatGPT, Bard … and Beyond” aims to help Software Engineers and Developers capture their ideal job offer and manage their medium-to-long-term career growth in the global Artificial Intelligence (AI) arena. First, we will look at the global market overview for AI Globally. The artificial intelligence (AI) market size was valued at around $136.55 billion in 2022 (Grand View Research, 2022). Also, it was projected to have a compound annual growth rate (CAGR) of 37.3% from 2023 to 2030. if you're interested in AI, you should be familiar with and have expertise with at least one of the following programming languages: Python, C/C++, MATLAB. According to Indeed, salaries for artificial intelligence professionals often range from $99,568 for a full-stack developer to $142,318 for a data scientist. Glassdoor reports the annual average base salary for artificial intelligence professionals in the US is $120,048. Based on a Talent.com report, the average artificial intelligence salary is $143,054 annually. Entry positions start at $115,000, and experienced employees can earn up to $200,000 yearly. 

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

Access the “Transformative Innovation” book series on Amazon today:

 

1 - ChatGPT - The Era of Generative Conversational AI Has Begun (Audible) (Kindle) 

2 -  ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity (Audible) (Kindle)

3 - The Race for Quantum Computing  (Audible) (Kindle) 

And download your free AI-ML-DL - Career Transformation Guide.

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

Data Structures and Algorithms (training)

Colleagues, in the Data Structures and Algorithms program you will learn data structures and algorithms by solving 80+ practice problems. You will begin each course by learning to solve defined problems related to a particular data structure and algorithm. By the end of each course, you would be able to evaluate and assess different data structures and algorithms for any open-ended problem and implement a solution based on your design choices. Knowledge of Python and Basic Algebra is recommended. Skill-based training modules include: 1) Introduction - meet your instructors, and refresh your Python skills. Learn the framework to deconstruct any open-ended problem and then understand the concepts of time and space complexity (Project: Unscramble Computer Science Problems), 2) Data Structures - can be used to store data. Implement different methods used to manipulate these data structures and examine the efficiency. Understand the advantages and applications of different data structures. Learn how to approach open ended problems (either in interview or real-world) and select appropriate data structures based on requirements (Project: Show Me the Data Structures, 3) Basic Algorithms - such as searching and sorting on different data structures and examine the efficiency of these algorithms. Use recursion to implement these algorithms and then learn how some of these algorithms can be implemented without recursion. Practice selecting and modifying these algorithms for a variety of interview problems (Project: Problems vs. Algorithms), and 4) Advanced Algorithms - such as brute-force greedy algorithms, graph algorithms, and dynamic programming which optimizes recursion by storing results to sub problems. (Project: Route Planner).

Enroll today (teams & execs welcome): https://tinyurl.com/3ua6b24c 

Download your free Data Science - Career Transformation Guide.

“Data-Driven Organizations”  book series for your listening-reading pleasure: 

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)