Data Science Specializations Data Analysis and Visualization (12 specializations) # Specialization Course Name Hrs 01 Advanced Statistics for Data ScienceSpecializationby Johns Hopkins University Mathematical Biostatistics Boot Camp 1 15 Mathematical Biostatistics Boot Camp 2 10 Advanced Linear Models for Data Science 1: Least Squares 10 Advanced Linear Models for Data Science 2: Statistical Linear Models 10 02 Methods and Statistics in Social SciencesSpecializationby University of Amsterdam Quantitative Methods 40 Qualitative Research Methods 35 Basic Statistics 30 Inferential Statistics 25 Methods and Statistics in Social Science - Final Research Project 20 03 Data Analysis with PythonSpecializationby University of Colorado Boulder Classification Analysis 40 Regression Analysis 40 Clustering Analysis 40 Association Rules Analysis 20 Data Analysis with Python Project 20 04 Introduction to Computational Statistics for Data ScientistsSpecializationby Databricks Introduction to Bayesian Statistics 15 Bayesian Inference with MCMC 15 Introduction to PyMC3 for Bayesian Modeling and Inference 15 05 Data Analysis and Presentation Skills: the PwC ApproachSpecializationby PwC Data-driven Decision Making 10 Problem Solving with Excel 20 Data Visualization with Advanced Excel 15 Effective Business Presentations with Powerpoint 15 Data Analysis and Presentation Skills: the PwC Approach Final Project 15 06 Python Data Products for Predictive AnalyticsSpecializationby University of California San Diego Basic Data Processing and Visualization 10 Design Thinking and Predictive Analytics for Data Products 10 Meaningful Predictive Modeling 10 Deploying Machine Learning Models 10 07 Computational Social ScienceSpecializationby University of California Davis Computational Social Science Methods 15 Big Data, Artificial Intelligence, and Ethics 15 Social Network Analysis 10 Computer Simulations 15 Computational Social Science Capstone Project 15 08 Advanced Business AnalyticsSpecializationby University of Colorado Boulder Introduction to Data Analytics for Business 15 Predictive Modeling and Analytics 15 Business Analytics for Decision Making 10 Communicating Business Analytics Results 10 Advanced Business Analytics Capstone 20 09 Data Analysis and InterpretationSpecializationby Wesleyan University Data Management and Visualization 20 Data Analysis Tools 15 Regression Modeling in Practice 15 Machine Learning for Data Analysis 15 Data Analysis and Interpretation Capstone 10 10 Accounting Data AnalyticsSpecializationby University of Illinois at Urbana-Champaign Introduction to Accounting Data Analytics and Visualization 20 Accounting Data Analytics with Python 35 Machine Learning for Accounting with Python 65 Data Analytics in Accounting Capstone 20 11 Analytics for Decision MakingSpecializationby University of Minnesota Introduction to Predictive Modeling 15 Optimization for Decision Making 15 Advanced Models for Decision Making 15 Simulation Models for Decision Making 20 12 Data-Driven Decision Making (DDDM)Specializationby University of Buffalo Data-Driven Process Improvement 10 Data Analysis and Visualization 15 Applied Analytics and Data for Decision Making 15 Data Science (12 specializations) # Specialization Course Name Hrs 01 Statistics with RSpecializationby Duke University Introduction to Probability and Data 15 Inferential Statistics 15 Linear Regression and Modeling 10 Bayesian Statistics 40 Statistics with R Capstone 10 02 Practical Data Science with MATLABSpecializationby MathWorks Exploratory Data Analysis with MATLAB 20 Data Processing and Feature Engineering with MATLAB 20 Predictive Modeling and Machine Learning with MATLAB 25 Data Science Project: MATLAB for the Real World 15 03 Data Science at ScaleSpecializationby University of Washington Data Manipulation at Scale: Systems and Algorithms 25 Practical Predictive Analytics: Models and Methods 10 Communicating Data Science Results 10 Data Science at Scale - Capstone Project 15 04 Statistical Learning for Data ScienceSpecializationby University of Colorado Boulder Regression and Classification 35 Resampling, Selection and Splines 15 Trees, SVM and Unsupervised Learning 15 05 Executive Data ScienceSpecializationby Johns Hopkins University A Crash Course in Data Science 5 Building a Data Science Team 5 Managing Data Analysis 10 Data Science in Real Life 5 Executive Data Science Capstone 5 06 Data Science: Foundations using RSpecializationby Johns Hopkins University The Data Scientists Toolbox 10 R Programming 60 Getting and Cleaning Data 20 Exploratory Data Analysis 60 Reproducible Research 10 07 Data ScienceSpecializationby Johns Hopkins University The Data Scientists Toolbox 10 R Programming 60 Getting and Cleaning Data 20 Exploratory Data Analysis 60 Reproducible Research 10 Statistical Inference 55 Regression Models 55 Practical Machine Learning 10 Developing Data Products 15 Data Science Capstone 10 08 Data Science: Statistics and Machine LearningSpecializationby Johns Hopkins University Statistical Inference 55 Regression Models 55 Practical Machine Learning 10 Developing Data Products 15 Data Science Capstone 5 09 Vital Skills for Data ScienceSpecializationby University of Colorado Boulder Data Science as a Field 15 Ethical Issues in Data Science 25 Cybersecurity for Data Science 20 Fundamentals of Data Visualization 15 10 Data Science and Analysis Tools - from Jupyter to R MarkdownSpecializationby Codio Data Analysis in Python with pandas & matplotlib in Spyder 10 Visualizing & Communicating Results in Python with Jupyter 10 Data Analysis in R with RStudio & Tidyverse 10 Visualizing Data & Communicating Results in R with RStudio 10 11 Fractal Data ScienceProfessional Certificateby Fractal Analytics Structured Approach to Problem Solving 15 Data Analysis Using SQL 15 Insights of Power BI 15 Python for Data Science 35 Human Decision Making and its Biases 15 Foundations of Machine Learning 25 Advanced Machine Learning Algorithms 20 Data Storytelling 15 12 Mastering Software Development in RSpecializationby Johns Hopkins University The R Programming Environment 30 Advanced R Programming 20 Building R Packages 20 Building Data Visualization Tools 15 Mastering Software Development in R Capstone 5 Business Intelligence (12 specializations) # Specialization Course Name Hrs 01 Business Statistics and AnalysisSpecializationby Rice University Introduction to Data Analysis Using Excel 10 Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions 15 Business Applications of Hypothesis Testing and Confidence Interval Estimation 20 Linear Regression for Business Statistics 20 Business Statistics and Analysis Capstone 10 02 Data Visualization with TableauSpecializationby University of California Davis Fundamentals of Visualization with Tableau 15 Essential Design Principles for Tableau 15 Visual Analytics with Tableau 15 Creating Dashboards and Storytelling with Tableau 20 Data Visualization with Tableau Project 20 03 Everyday ExcelSpecializationby University of Colorado Boulder Everyday Excel, Part 1 25 Everyday Excel, Part 2 25 Everyday Excel, Part 3 (Projects) 15 04 Excel/VBA for Creative Problem SolvingSpecializationby University of Colorado Boulder Excel/VBA for Creative Problem Solving, Part 1 20 Excel/VBA for Creative Problem Solving, Part 2 20 Excel/VBA for Creative Problem Solving, Part 3 (Projects) 20 05 Excel Skills for Data Analytics and VisualizationSpecializationby Macquarie University Excel Fundamentals for Data Analysis 20 Data Visualization in Excel 20 Excel Power Tools for Data Analysis 15 06 Excel Skills for BusinessSpecializationby Macquarie University Excel Skills for Business: Essentials 30 Excel Skills for Business: Intermediate I 30 Excel Skills for Business: Intermediate II 30 Excel Skills for Business: Advanced 25 07 Excel Skills for Business ForecastingSpecializationby Macquarie University Excel Time Series Models for Business Forecasting 15 Excel Regression Models for Business Forecasting 10 Judgmental Business Forecasting in Excel 10 08 BI Foundations with SQL, ETL and Data WarehousingSpecializationby IBM Hands-on Introduction to Linux Commands and Shell Scripting 5 Databases and SQL for Data Science with Python 20 ETL and Data Pipelines with Shell, Airflow and Kafka 10 Getting Started with Data Warehousing and BI Analytics 15 09 Business AnalyticsSpecializationby University of Pennsylvania Customer Analytics 15 Operations Analytics 10 People Analytics 10 Accounting Analytics 10 Business Analytics Capstone 15 10 Data Analysis and Presentation Skills: the PwC ApproachSpecializationby PwC Data-driven Decision Making 10 Problem Solving with Excel 20 Data Visualization with Advanced Excel 15 Effective Business Presentations with Powerpoint 15 Data Analysis and Presentation Skills: the PwC Approach Final Project 15 11 Information VisualizationSpecializationby New York University Information Visualization: Foundations 15 Information Visualization: Applied Perception 15 Information Visualization: Programming with D3.js 20 Information Visualization: Advanced Techniques 20 12 Geographic Information Systems (GIS)Specializationby University of California Davis Fundamentals of GIS 35 GIS Data Formats, Design and Quality 30 Geospatial and Environmental Analysis 15 Imagery, Automation, and Applications 30 Geospatial Analysis Project 65 Data Engineering (5 specializations) # Specialization Course Name Hrs 01 Data Engineering FoundationsSpecializationby IBM Introduction to Data Engineering 10 Python for Data Science, AI & Development 20 Python Project for Data Engineering 5 Introduction to Relational Databases (RDBMS) 15 Databases and SQL for Data Science with Python 20 02 IBM Data EngineeringProfessional Certificateby IBM Introduction to Data Engineering 10 Python for Data Science, AI & Development 20 Python Project for Data Engineering 5 Introduction to Relational Databases (RDBMS) 15 Databases and SQL for Data Science with Python 20 Introduction to NoSQL Databases 20 Introduction to Big Data with Spark and Hadoop 10 Data Engineering and Machine Learning using Spark 5 Hands-on Introduction to Linux Commands and Shell Scripting 5 Relational Database Administration (DBA) 20 ETL and Data Pipelines with Shell, Airflow and Kafka 10 Getting Started with Data Warehousing and BI Analytics 15 Data Engineering Capstone Project 15 03 NoSQL, Big Data, and Spark FoundationsSpecializationby IBM Introduction to NoSQL Databases 20 Introduction to Big Data with Spark and Hadoop 10 Data Engineering and Machine Learning using Spark 5 04 IBM Data Warehouse EngineerProfessional Certificateby IBM Introduction to Data Engineering 10 Introduction to Relational Databases (RDBMS) 15 Databases and SQL for Data Science with Python 20 Hands-on Introduction to Linux Commands and Shell Scripting 5 Relational Database Administration (DBA) 20 ETL and Data Pipelines with Shell, Airflow and Kafka 10 Getting Started with Data Warehousing and BI Analytics 15 05 Software Product ManagementSpecializationby University of Alberta Introduction to Software Product Management 5 Software Processes and Agile Practices 10 Client Needs and Software Requirements 15 Agile Planning for Software Products 15 Reviews & Metrics for Software Improvements 10 Software Product Management Capstone 25 Big Data Analytics and Modeling (7 specializations) # Specialization Course Name Hrs 01 Big DataSpecializationby University of California San Diego Introduction to Big Data 20 Big Data Modeling and Management Systems 15 Big Data Integration and Processing 20 Machine Learning With Big Data 25 Graph Analytics for Big Data 15 Big Data - Capstone Project 25 02 Modern Big Data Analysis with SQLSpecializationby Cloudera Foundations for Big Data Analysis with SQL 15 Analyzing Big Data with SQL 20 Managing Big Data in Clusters and Cloud Storage 20 03 Functional Programming in ScalaSpecializationby ecole polytechnique federale de lausanne Functional Programming Principles in Scala 45 Functional Program Design in Scala 30 Parallel programming 35 Big Data Analysis with Scala and Spark 30 Functional Programming in Scala Capstone 30 04 Data Science with Databricks for Data AnalystsSpecializationby Databricks Apache Spark (TM) SQL for Data Analysts 15 Data Science Fundamentals for Data Analysts 20 Applied Data Science for Data Analysts 20 05 Big DataSpecializationby University of California San Diego Introduction to Big Data 20 Big Data Modeling and Management Systems 15 Big Data Integration and Processing 20 Machine Learning With Big Data 20 Graph Analytics for Big Data 15 Big Data - Capstone Project 20 06 Key Technologies in Data AnalyticsSpecializationby LearnQuest Fundamentals of Data Analysis 20 Fundamentals of Cloud Computing 15 Fundamentals of Data Warehousing 15 Fundamentals of Big Data 15 07 Statistical Modeling for Data Science ApplicationsSpecializationby University of Colorado Boulder Modern Regression Analysis in R 45 ANOVA and Experimental Design 40 Generalized Linear Models and Nonparametric Regression 45
