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| Class
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| Skills Gained
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101 | Data Visualization | Coursera | Data Visualization Software, Tableau Software, Data Virtualization, Data Visualization, |
102 | Introduction to Statistics | Coursera | null |
103 | Foundations: Data, Data, Everywhere | Coursera | Spreadsheet, Data Analysis, SQL, Data Visualization, Data Cleansing, |
104 | Convolutional Neural Networks | Coursera | Facial Recognition System, Tensorflow, Convolutional Neural Network, Deep Learning, Object Detection and Segmentation, |
105 | Introduction to Business Analytics | Coursera | Data Analytics Lifecycle, Foundational Project Management, Data Literacy, |
106 | Probability Theory: Foundation for Data Science | Coursera | Bayes' Theorem, continuous random variables, Probability, discrete random variables, central limit theorem, |
107 | Machine Learning: Regression | Coursera | Linear Regression, Ridge Regression, Lasso (Statistics), Regression Analysis, |
108 | Effective Programming in Scala | Coursera | Software Testing, Scala Programming, Parallel Computing, Object-Oriented Programming (OOP), Functional Programming, |
109 | Introduction to Data Analytics for Accounting Professionals | Coursera | null |
110 | Cloud Computing Concepts, Part 1 | Coursera | Distributed Algorithm, Distributed Computing, C++, Cloud Computing, |
111 | Linear Regression and Modeling | Coursera | Statistics, Linear Regression, R Programming, Regression Analysis, |
112 | Excel Fundamentals for Data Analysis | Coursera | Data Analysis, Microsoft Excel, Data Cleansing, |
113 | Ethics of Artificial Intelligence | Coursera | null |
114 | Pattern Discovery in Data Mining | Coursera | Streams, Sequential Pattern Mining, Data Mining Algorithms, Data Mining, |
115 | R Programming | Coursera | Data Analysis, Debugging, R Programming, Rstudio, |
116 | Generative AI for Everyone | Coursera | Generative AI Tools, Large Language Models, AI strategy, Generative AI, AI Productivity, |
117 | Introduction to Data Science in Python | Coursera | Python Programming, Numpy, Pandas, Data Cleansing, |
118 | Data Literacy – What is it and why does it matter? | Coursera | null |
119 | Finalize a Data Science Project | Coursera | Data Model, Data Science, Communication, production pipeline, Data Visualization, |
120 | Analyzing and Visualizing Data in Looker | Coursera | null |
121 | Fundamentals of Visualization with Tableau | Coursera | Visualization (Computer Graphics), Tableau Software, Data Virtualization, Data Visualization, |
122 | Work Smarter with Microsoft Excel | Coursera | Microsoft Excel, Chart, Worksheet, |
123 | Google AI Essentials | Coursera | Artificial Intelligence (AI), Prompt Engineering, Large Language Models (LLMs), Generative AI, |
124 | Everyday Excel, Part 1 | Coursera | Spreadsheet, Microsoft Excel, Problem Solving, Data Management, Real World, |
125 | Neural Networks and Deep Learning | Coursera | Artificial Neural Network, Backpropagation, Python Programming, Deep Learning, Neural Network Architecture, |
126 | Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning | Coursera | Computer Vision, Tensorflow, Machine Learning, |
127 | Algorithms, Part I | Coursera | Data Structure, Algorithms, Java Programming, |
128 | Ask Questions to Make Data-Driven Decisions | Coursera | Decision-Making, Spreadsheet, Data Analysis, Problem Solving, Questioning, |
129 | SQL for Data Science | Coursera | Data Science, Data Analysis, Sqlite, SQL, |
130 | Excel Skills for Data Analytics and Visualization Specialization [3 courses] (Macquarie University) | Coursera | Data Analysis, Microsoft Excel, Data Visualization, |
131 | Data Literacy Specialization [5 courses] (Johns Hopkins) | Coursera | Statistics, Probability, Statistical Hypothesis Testing, Measurement Uncertainty, visualization, |
132 | AI for Good Specialization [3 courses] (DeepLearning.AI) | Coursera | Topic Model, Biodiversity Monitoring, Computer Vision, Time Series, Air Quality Monitoring, Damage Assessment, AI for Good project framework, Supervised Learning, Exploratory Data Analysis, Natural Language Processing, Jupyter notebooks, Wind Power Generation Modeling, |
133 | Applied Data Science with Python Specialization [5 courses] (UMich) | Coursera | Text Mining, Python Programming, Pandas, Matplotlib, |
134 | Data Engineering, Big Data, and Machine Learning on GCP Specialization [5 courses] (Google Cloud) | Coursera | Tensorflow, Bigquery, Google Cloud Platform, Cloud Computing, |
135 | Mathematics for Machine Learning Specialization [3 courses] (IC London) | Coursera | Eigenvalues And Eigenvectors, Principal Component Analysis (PCA), Multivariable Calculus, Linear Algebra, |
136 | AI For Business Specialization [4 courses] (Penn) | Coursera | Artificial Intelligence (AI), Analytics, Machine Learning, Management, Fraud Prevention, |
137 | PostgreSQL for Everybody Specialization [4 courses] (UMich) | Coursera | Json, Database (DBMS), SQL, Natural Language Processing, |
138 | BI Foundations with SQL, ETL and Data Warehousing Specialization [4 courses] (IBM) | Coursera | Business Intelligence, SQL queries, SQL Queries, cognos analytics, Cognos Analytics, Bash Scripting, BASH scripting, Enterprise Data Warehouse(EDW), |
139 | Introduction to Data Science Specialization [4 courses] (IBM) | Coursera | Data Science, Python Programming, Cloud Databases, SQL, Relational Database Management System (RDBMS), |
140 | Genomic Data Science Specialization [6 courses] (Johns Hopkins) | Coursera | Bioinformatics Algorithms, Algorithms, Python Programming, Algorithms On Strings, Bioinformatics, Biopython, Genomics, Statistics, Data Science, Computational Biology, Samtools, Command-Line Interface, Unix, Data Analysis, R Programming, Biostatistics, Bioconductor, |
141 | Cloud Computing Specialization [6 courses] (UIUC) | Coursera | Software-Defined Networking, Distributed Computing, Big Data, Cloud Computing, |
142 | Deep Learning Specialization [5 courses] (DeepLearning.AI) | Coursera | Recurrent Neural Network, Tensorflow, Convolutional Neural Network, Artificial Neural Network, Transformers, |
143 | Supply Chain Analytics Specialization [5 courses] (Rutgers) | Coursera | Inventory Analysis, Competitive Analysis, Demand Forecasting, Supply Chain Analysis, |
144 | Business Analytics Specialization [5 courses] (Penn) | Coursera | Customer Analytics, Analytics, Business Analytics, Decision Tree, |
145 | Learn SQL Basics for Data Science Specialization [4 courses] (UC Davis) | Coursera | Data Analysis, SQL, Apache Spark, Delta Lake, |
146 | Sports Performance Analytics Specialization [5 courses] (UMich) | Coursera | Data Analysis, Python Programming, sports analytics, |
147 | Natural Language Processing Specialization [4 courses] (DeepLearning.AI) | Coursera | Machine Translation, Transformers, Sentiment Analysis, Word2vec, Attention Models, |
148 | Data Science Specialization [10 courses] (Johns Hopkins) | Coursera | Github, Machine Learning, R Programming, Regression Analysis, |
149 | Machine Learning on Google Cloud | Coursera | Tensorflow, Machine Learning, Feature Engineering, Cloud Computing, Vertex AI, |
150 | Self-Driving Cars Specialization [4 courses] (UToronto) | Coursera | null |
151 | Data Science: Statistics and Machine Learning Specialization [5 courses] (Johns Hopkins) | Coursera | Github, Machine Learning, Data Visualization, R Programming, Regression Analysis, |
152 | Linear Algebra from Elementary to Advanced | Coursera | Matrix Analysis, |
153 | AI in Healthcare Specialization [5 courses] (Stanford) | Coursera | Artificial Intelligence, Clinical Data Analysis, Machine Learning, Applications Of Artificial Intelligence, |
154 | Machine Learning Rock Star – the End-to-End Practice Specialization [3 courses] (SAS) | Coursera | Predictive Analytics, Ethics Of Artificial Intelligence, Artificial Intelligence (AI), Data Science, Machine Learning, Machine learning strategy and leadership, Machine Learning (ML) Algorithms, |
155 | IBM AI Foundations for Business Specialization [3 courses] (IBM) | Coursera | Artificial Intelligence (AI), Data Science, Leadership, Information Technology (IT) Architecture, Data Architecture, |
156 | Generative AI for Data Scientists | Coursera | Artificial Intelligence (AI), Data Science, Machine Learning, Prompt Engineering, Generative AI, |
157 | Foundations of Data Structures and Algorithms Specialization [5 courses] (CU Boulder) | Coursera | Travelling Salesman Problem (TSP), Integer Programming, Approximation Algorithm, Linear Programming (LP), Algorithm Design, Python Programming, Data Structure Design, Hashtables, Analysis of Algorithms, Graphs Algorithms, Intractability, RSA (Cryptosystem), Quantum Algorithms, Public Key Cryptography, |
158 | Data Science Fundamentals with Python and SQL Specialization [5 courses] (IBM) | Coursera | Probability And Statistics, Basic Descriptive Statistics, Statistical Hypothesis Testing, Data Visualization, Regression Analysis, Data Science, Data Analysis, Python Programming, Numpy, Pandas, Jupyter notebooks, Cloud Databases, Relational Database Management System (RDBMS), SQL, Github, Rstudio, |
159 | Data Mining Specialization [6 courses] (UIUC) | Coursera | Data Clustering Algorithms, Text Mining, Data Visualization, Data Mining, |
160 | Microsoft Azure AI Fundamentals AI-900 Exam Prep Specialization [5 courses] (Microsoft) | Coursera | Describe features of computer vision workloads on Azure, Describe AI workloads and considerations, Describe features of conversational AI workloads on Azure, Describe features of Natural Language Processing (NLP) workloads on Azure, Describe fundamental principles of machine learning on Azure, |
161 | Microsoft Azure Data Fundamentals DP-900 Exam Prep Specialization [5 courses] (Microsoft) | Coursera | Describe how to work with relational data on Azure, Describe core data concepts, Describe an analytics workload on Azure, Describe how to work with non-relational data on Azure, |
162 | Machine Learning Specialization [3 courses] (Stanford) | Coursera | Logistic Regression, Artificial Neural Network, Linear Regression, Decision Trees, Recommender Systems, |
163 | Mathematics for Machine Learning and Data Science Specialization [3 courses] (DeepLearning.AI) | Coursera | Bayesian Statistics, Mathematics, Linear Regression, Calculus, Machine Learning, Probability, |
164 | Use Tableau for Your Data Science Workflow Specialization [3 courses] (UC Davis) | Coursera | Dashboard Design, visual storytelling, Univariate Analysis, Tableau Software, Multivariate Analysis, |
165 | Prompt Engineering | Coursera | Prompt Engineering, ChatGPT, Generative AI, ChatGPT Advanced Data Analysis, |
166 | Vital Skills for Data Science Specialization [4 courses] (CU Boulder) | Coursera | Information Privacy, Cybersecurity, analysis, Ethics, |
167 | Data Mining Foundations and Practice Specialization [3 courses] (CU Boulder) | Coursera | apply and evaluate data mining methods, work through the data mining pipeline, data mining project design and implementation, |
168 | Hands-on Foundations for Data Science and Machine Learning with Google Cloud Labs | Coursera | Cloud Data Fusion, Data Management, Data Pipelines, Bigquery, Data Processing, SQL, Data Visualization, Data ingestion, Data Analysis, data, Data Structure, Data tables, Data Warehouse, Tensorflow, Machine Learning, Distributed Machine Learning, Spark, |
169 | Big Data Specialization [6 courses] (UCSD) | Coursera | Big Data, Neo4j, Mongodb, Apache Spark, |
170 | Writing Secure Code in C++ Specialization [4 courses] (Infosec) | Coursera | null |
171 | Machine Learning Specialization [4 courses] (UW) | Coursera | Data Clustering Algorithms, Machine Learning, Classification Algorithms, Decision Tree, |
172 | Machine Learning: Theory and Hands-on Practice with Python Specialization [3 courses] (CU Boulder) | Coursera | Unsupervised Learning, Python Programming, Deep Learning, hyperparameter tuning, Supervised Learning, |
173 | Statistical Modeling for Data Science Applications Specialization [3 courses] (CU Boulder) | Coursera | Linear Model, regression, R Programming, Statistical Model, |
174 | AI Product Management Specialization [3 courses] (Duke University) | Coursera | Modeling, Project Management, Artificial Intelligence (AI), Data Science, Artificial Neural Network, Product Management, Machine Learning, Privacy, product design, Predictive Modelling, User Experience (UX), Ethics, |
175 | Splunk Search Expert Specialization [3 courses] (Splunk Inc.) | Coursera | Business Intelligence, Data Science, Big Data, Data Analysis, Business Analytics, |
176 | Business Data Management and Communication Specialization [6 courses] (UIUC) | Coursera | Financial Accounting, Data Analysis, Business Analytics, Asset Management, Rstudio, |
177 | Data Analysis with R Specialization [3 courses] (Duke University) | Coursera | Probability And Statistics, Correlation And Dependence, Data Analysis, Linear Regression, Statistical Inference, Statistical Hypothesis Testing, Data Visualization, R Programming, Rstudio, Regression Analysis, Exploratory Data Analysis, General Statistics, |
178 | Mathematics for Engineers Specialization [5 courses] (HKUST) | Coursera | Matrix Algebra, Differential Equations, Vector Calculus, Numerical Analysis, Computational Fluid Dynamics (CFD), |
179 | Generative AI Fundamentals | Coursera | Artificial Intelligence (AI), Prompt Engineering, ChatGPT, hugging face, Generative AI Careers, Generative AI, Stable Diffusion, Hugging Face, Foundation Models, |
180 | Exam Prep: AWS Certified Cloud Practitioner Foundations | Coursera | Cloud Computing, AWS cloud, |
181 | Put It to Work: Prepare for Cybersecurity Jobs | Coursera | escalation, resume and portfolio preparation, stakeholder communication, Job preparedness, integrity and discretion, |
182 | Introduction to Cybersecurity Tools & Cyberattacks | Coursera | Cybersecurity Threats, Cybersecurity Controls, Physical Threats and Controls, |
184 | Customer-Centric IT Strategy | Coursera | null |
185 | WhatsApp Business Platform for Developers | Coursera | Configure webhooks, Create message templates, Set up API access, |
186 | Packet Switching Networks and Algorithms | Coursera | null |
187 | Technical Support Fundamentals | Coursera | Binary Code, Customer Support, Linux, Troubleshooting, |
188 | Fundamentals of Network Communication | Coursera | null |
189 | Crash Course on Python | Coursera | Python Programming, Basic Python Syntax, Basic Python Data Structures, Object-Oriented Programming (OOP), Fundamental Programming Concepts, |
190 | Architecting Solutions on AWS | Coursera | Software Architecture, Data Analysis, Data Visualization, AWS Account Management, |
191 | IT Infrastructure and Emerging Trends | Coursera | Management, IT Skills and Knowledge, |
192 | Two Speed IT: How Companies Can Surf the Digital Wave, a BCG Perspective | Coursera | null |
193 | Foundations of Cybersecurity | Coursera | Cybersecurity, Information Security (INFOSEC), Ethics in cybersecurity, NIST Cybersecurity Framework (CSF), Historical Attacks, |
194 | Networks and Communications Security | Coursera | null |
195 | Oracle Cloud Infrastructure Foundations | Coursera | OCI Cloud Storage, Networking, Architecting, Autonomous Database Concepts, |
196 | CompTIA a+ Cyber | Coursera | Server Administrator, Network Security, Operational Risk Management, Application Security, Cyber Security Management, |
197 | System Administration and IT Infrastructure Services | Coursera | Directory Service, Lightweight Directory Access Protocol (LDAP), Backup, |
198 | Configuration Management and the Cloud | Coursera | Configuration Management, Automation at Scale, Cloud Computing, Basic Monitoring & Alerting, Using Puppet, |
199 | Exam Prep: AWS Certified Solutions Architect - Associate | Coursera | Cloud Computing Security, Cloud Computing Architecture, AWS cloud, |
200 | Decentralized Finance (DeFi) Deep Dive | Coursera | Constant function Automated Market Makers, Proficiency with MakerDAO, dYdX’s derivatives implementation, Set Protocol’s tokenization method, Mechanics of Compound and Aave, |
201 | Introduction to Agile Development and Scrum | Coursera | Kanban, Zenhub, Scrum Methodology, Agile Software Development, Sprint Planning, |