Data Analysis and Reporting in SAS Visual Analytics (Coursera)

https://www.coursera.org/learn/data-analysis-reporting-sas-va

In this course, you learn how to use SAS Visual Analytics on SAS Viya to modify data for analysis, perform data discovery and analysis, and create interactive reports.

Data Analysis and Representation, Selection and Iteration (Coursera)

https://www.coursera.org/learn/data-analysis-representation-selection-iteration

This course is the second course in the specialization exploring both computational thinking and beginning C programming. Rather than trying to define computational thinking, we’ll just say it’s a problem-solving process that includes lots of different components. Most people have a better understanding of what beginning C programming means! This course assumes you have the prerequisite knowledge from the previous course in the specialization. You should make sure you have that knowledge, eithe

Data Analysis and Visualization with Power BI (Coursera)

https://www.coursera.org/learn/data-analysis-and-visualization-with-power-bi

This course forms part of the Microsoft Power BI Analyst Professional Certificate. This Professional Certificate consists of a series of courses that offers a good starting point for a career in data analysis using Microsoft Power BI. In this course, you will learn report design and formatting in Power BI, which offers extraordinary visuals for building reports and dashboards. Additionally, you will learn how to use report navigation to tell a compelling, data-driven story in Power BI. You will

Data Analysis for Business (Coursera)

https://www.coursera.org/learn/data-analysis-for-business

The Data Science in Business course equips participants with the tools and techniques to leverage data for informed decision-making in the corporate world. Covering data analysis, and data-driven strategies, this course empowers individuals to extract valuable insights, enhance business processes, and drive strategic initiatives through data-driven approaches. Combining theoretical foundations with hands-on applications, learners will be well-prepared to navigate the intersection of data science

Data Analysis in Python with pandas & matplotlib in Spyder (Coursera)

https://www.coursera.org/learn/codio-data-analysis-in-python-with-pandas-and-matplotlib-in-spyder

Code and run your first Python script in minutes without installing anything! This course is designed for learners with no coding experience, providing a crash course in Python, which enables the learners to delve into core data analysis topics that can be transferred to other languages. In this course, you will learn how to import and organize your data, use functions to gather descriptive statistics, and perform statistical tests. To allow for a truly hands-on, self-paced learning experience

Data Analysis in R with RStudio & Tidyverse (Coursera)

https://www.coursera.org/learn/codio-data-analysis-in-r-with-rstudio-and-tidyverse

Code and run your first R program in minutes without installing anything! This course is designed for learners with no prior coding experience, providing foundational knowledge of data analysis in R. The modules in this course cover descriptive statistics, importing and wrangling data, and using statistical tests to compare populations and describe relationships. This course presents examples in R using the industry-standard Integrated Development Environment (IDE) RStudio. To allow for a trul

Data Analysis Tools (Coursera)

https://www.coursera.org/learn/data-analysis-tools

In this course, you will develop and test hypotheses about your data. You will learn a variety of statistical tests, as well as strategies to know how to apply the appropriate one to your specific data and question. Using your choice of two powerful statistical software packages (SAS or Python), you will explore ANOVA, Chi-Square, and Pearson correlation analysis. This course will guide you through basic statistical principles to give you the tools to answer questions you have developed. Through

Data Analysis Using Python (Coursera)

https://www.coursera.org/learn/data-analysis-python

This course provides an introduction to basic data science techniques using Python. Students are introduced to core concepts like Data Frames and joining data, and learn how to use data analysis libraries like pandas, numpy, and matplotlib. This course provides an overview of loading, inspecting, and querying real-world data, and how to answer basic questions about that data. Students will gain skills in data aggregation and summarization, as well as basic data visualization.

Data Analysis Using SQL (Coursera)

https://www.coursera.org/learn/data-analysis-sql

In this comprehensive course, you will embark on a transformative journey to master the art of analyzing data through SQL. SQL is a powerful tool used for managing and manipulating data in relational databases. Throughout this course, you will acquire the essential skills to efficiently extract relevant data from databases, empowering you to navigate through vast amounts of information with ease. With a focus on practical application, you will delve into the world of data analysis, discoveri

Data Analysis with Python (Coursera)

https://www.coursera.org/learn/data-analysis-with-python

Analyzing data with Python is an essential skill for Data Scientists and Data Analysts. This course will take you from the basics of data analysis with Python to building and evaluating data models. Topics covered include: - collecting and importing data - cleaning, preparing & formatting data - data frame manipulation - summarizing data - building machine learning regression models - model refinement - creating data pipelines You will learn how to import data from multiple sources

Data Analysis with R (Coursera)

https://www.coursera.org/learn/data-analysis-with-r

The R programming language is purpose-built for data analysis. R is the key that opens the door between the problems that you want to solve with data and the answers you need to meet your objectives. This course starts with a question and then walks you through the process of answering it through data. You will first learn important techniques for preparing (or wrangling) your data for analysis. You will then learn how to gain a better understanding of your data through exploratory data analysi

Data Analysis with R Programming (Coursera)

https://www.coursera.org/learn/data-analysis-r

This course is the seventh course in the Google Data Analytics Certificate. In this course, you’ll learn about the programming language known as R. You’ll find out 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. 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

Data Analysis with Spreadsheets and SQL (Coursera)

https://www.coursera.org/learn/data-analysis-with-spreadsheets-and-sql

This course introduces you to how to use spreadsheets and SQL queries to analyze and extract data. You will learn how to practically apply the OSEMN data analysis framework and spreadsheet functions to clean data, calculate summary statistics, evaluate correlations, and more. You’ll also dive into common data visualization techniques and learn how to use dashboards to tell a story with your data. By the end of this course you will be able to: • Clean data with spreadsheets • Use common spreadsh

Data Analysis with Tableau (Coursera)

https://www.coursera.org/learn/data-analysis-with-tableau-public

The Data Analysis with Tableau Course will teach you how to manipulate and prepare data for analysis and reporting. You will also learn how to use the analytics features in Tableau to more effectively calculate analytics versus manual calculations. In this course, you will perform exploratory data analysis as well as create reports using descriptive statistics and visualizations. This course is for anyone who is curious about entry-level roles that demand fundamental Tableau skills, such as bu

Data Analysis with Tidyverse (Coursera)

https://www.coursera.org/learn/data-analysis-with-tidyverse

This course continues our gentle introduction to programming in R designed for 3 types of learners. It will be right for you, if: • you want to do data analysis but don’t know programming • you know programming but aren’t too familiar with R • you know some R programming but want to learn more about the tidyverse verbs It is best taken following the first course in the specialization or if you already are familiar with ggplot, RMarkdown, and basic function writing in R. You will use

Data Analysis, Visualization, and Communication with Copilot (Coursera)

https://www.coursera.org/learn/data-analysis-visualization-and-communication-with-copilot

This course will help you to transform complex data into actionable insights and compelling stories using Microsoft Copilot. You'll learn cutting-edge generative AI techniques for data analysis, visualization, and communication, enabling you to uncover hidden patterns, create impactful visuals, and effectively convey your findings to diverse audiences.

Data Analyst Career Guide and Interview Preparation (Coursera)

https://www.coursera.org/learn/career-guide-and-interview-prep-for-data-analyst-pc

Data analytics professionals are in high demand around the world, and the trend shows no sign of slowing. There are lots of great jobs available, but lots of great candidates too. How can you get the edge in such a competitive field? This course will prepare you to enter the job market as a great candidate for a data analyst position. It provides practical techniques for creating essential job-seeking materials such as a resume and a portfolio, as well as auxiliary tools like a cover letter and

Data Analyst Career Guide and Interview Preparation (Coursera)

https://www.coursera.org/learn/career-guide-and-interview-prep-for-data-analyst

Data analytics professionals are in high demand around the world, and the trend shows no sign of slowing. There are lots of great jobs available, but lots of great candidates too. How can you get the edge in such a competitive field? This course will prepare you to enter the job market as a great candidate for a data analyst position. It provides practical techniques for creating essential job-seeking materials such as a resume and a portfolio, as well as auxiliary tools like a cover letter and

Data Analytics and Databases on AWS (Coursera)

https://www.coursera.org/learn/data-analytics-and-databases-aws

Data is everywhere. If you or your company don't know what data you have and what insights you can uncover through your data, you are at a competitive disadvantage. In this course, you'll get introduced to data analytics and the upside of data-driven decisions. You'll learn about the omnipresence of data in today's world and what it takes to start thinking and acting like a data analyst. Week 1 concludes by comparing and contrasting ETL (Extract, Transform, Load) and ELT(Extract, Load, Transform

Data Analytics for Lean Six Sigma (Coursera)

https://www.coursera.org/learn/data-analytics-for-lean-six-sigma

Welcome to this course on Data Analytics for Lean Six Sigma. In this course you will learn data analytics techniques that are typically useful within Lean Six Sigma improvement projects. At the end of this course you are able to analyse and interpret data gathered within such a project. You will be able to use Minitab to analyse the data. I will also briefly explain what Lean Six Sigma is. I will emphasize on use of data analytics tools and the interpretation of the outcome. I will use many d

Data Analytics Foundations for Accountancy I (Coursera)

https://www.coursera.org/learn/data-analytics-accountancy-1

Welcome to Data Analytics Foundations for Accountancy I! You’re joining thousands of learners currently enrolled in the course. I'm excited to have you in the class and look forward to your contributions to the learning community. To begin, I recommend taking a few minutes to explore the course site. Review the material we’ll cover each week, and preview the assignments you’ll need to complete to pass the course. Click Discussions to see forums where you can discuss the course material with fel

Data Analytics Foundations for Accountancy II (Coursera)

https://www.coursera.org/learn/data-analytics-accountancy-2

Welcome to Data Analytics Foundations for Accountancy II! I'm excited to have you in the class and look forward to your contributions to the learning community. To begin, I recommend taking a few minutes to explore the course site. Review the material we’ll cover each week, and preview the assignments you’ll need to complete to pass the course. Click Discussions to see forums where you can discuss the course material with fellow students taking the class. If you have questions about course co

Data Analytics in Sports Law and Team Management (Coursera)

https://www.coursera.org/learn/data-analytics-in-sports-law-and-team-management

This course provides an introduction to the fundamental ideas in applying data analytics to issues surrounding key regulatory and management functions within the sports industry. Sports as an industry is increasingly relying on data analytics for more effective deployment of resources and assessment of performance in areas ranging from player productivity to fan engagement, talent identification and development, coaching, sponsorship, and marketing. This course and its successors will help you u

Data Analytics Methods for Marketing (Coursera)

https://www.coursera.org/learn/data-analytics-methods-for-marketing

This course explores common analytics methods used by marketers such as audience segmentation, clustering and marketing mix modeling. . You'll explore how to use linear regression for marketing planning and forecasting, and how to assess advertising effectiveness through experiments. By the end of this course you will be able to: • Understand your audience using analytics and variable descriptions • Define a target audience using segmentation with K-means clustering • Use historical data to p

Data and Business Process Modeling with Microsoft Visio (Coursera)

https://www.coursera.org/learn/data-and-business-process-modeling-with-microsoft-visio

This course is designed to equip you with essential skills in business process and data modeling using Microsoft Visio. Throughout this program, you will delve into various facets of business analysis and data modeling. Using Microsoft Visio learners will create insightful business processes and data models, and apply these skills to enhance your capabilities in business analysis. After completing this course, you’ll be able to:  • Identify and navigate the user interface of Microsoft Visio •

Data and Health Indicators in Public Health Practice (Coursera)

https://www.coursera.org/learn/data-public-health

Epidemiology is often described as the cornerstone science in public health. Epidemiology in public health practice uses study design and analyses to identify causes in an outbreak situation, guides interventions to improve population health, and evaluates programs and policies. In this course, we'll define the role of the professional epidemiologist as it relates to public health services, functions, and competencies. With that foundation in mind, we'll introduce you to the problem solving met

Data and Urban Governance (Coursera)

https://www.coursera.org/learn/data-urban-governance

Since the beginning of the 2000s, cities have witnessed a massive influx of data, transforming how cities are governed. Data has an impact on how city life is structured, as it influences coalitions, actors, instruments, policies, and forms of regulation. In this MOOC, we will look at this shift more closely: what has the advent of big data done to urban governance? Have platforms disrupted local authorities? How has big data changed local politics? How do we govern using algorithms? What is th

Data Center Security Management with Microsoft System Center (Coursera)

https://www.coursera.org/learn/data-center-security-management-with-microsoft-system-center

This comprehensive course equips learners with a deep understanding of modern security principles and practices within IT infrastructure management. Participants explore critical modules covering data center security, compliance management, incident response, and DevSecOps integration. Through theoretical knowledge and practical exercises, learners develop proficiency in designing, implementing, and managing secure IT infrastructures while ensuring regulatory compliance. By course completion, pa

Data Collection and Integration (Coursera)

https://www.coursera.org/learn/data-collection-and-integration

The "Data Collection and Integration" course provides students with comprehensive techniques for gathering data from diverse sources, including files, relational databases, web pages, and APIs. Participants will gain practical experience in collecting and integrating data for further processing and analysis. The course emphasizes the utilization of appropriate tools and packages, such as Pandas, Beautiful Soup, and SQL, to effectively handle real-life datasets and address data integration challe

Data Collection and Processing with Python (Coursera)

https://www.coursera.org/learn/data-collection-processing-python

This course teaches you to fetch and process data from services on the Internet. It covers Python list comprehensions and provides opportunities to practice extracting from and processing deeply nested data. You'll also learn how to use the Python requests module to interact with REST APIs and what to look for in documentation of those APIs. For the final project, you will construct a “tag recommender” for the flickr photo sharing site. The course is well-suited for you if you have already take

Data Collection: Online, Telephone and Face-to-face (Coursera)

https://www.coursera.org/learn/data-collection-methods

This course presents research conducted to increase our understanding of how data collection decisions affect survey errors. This is not a “how–to-do-it” course on data collection, but instead reviews the literature on survey design decisions and data quality in order to sensitize learners to how alternative survey designs might impact the data obtained from those surveys. The course reviews a range of survey data collection methods that are both interview-based (face-to-face and telephone) and

Data Driven Decision Making (Coursera)

https://www.coursera.org/learn/data-driven-decision-making

Once we have generated data, we need to answer the research question by performing an appropriate statistical analysis. Engineers and business professionals need to know which test or tests to use. Through this class, you will be able to perform one sample tests for comparison to historical data. You will also be able to determine statistically significant relationships between two variables. You will be able to perform two sample tests for both independent and dependent data. Finally, you will

Data Ecosystem (Coursera)

https://www.coursera.org/learn/data-ecosystem

The Data Ecosystem course will give you a foundational understanding of the entire data ecosystem, including data management. Specifically, this course shows how a business intelligence analyst would organize, access, and use data. You will learn about a variety of data sources along with the use and purpose of each type. Additionally, you’ll learn about the importance of data quality and data governance in relation to effective data management. You’ll also learn about the goals of data manageme

Data Engineering Capstone Project (Coursera)

https://www.coursera.org/learn/data-enginering-capstone-project

Showcase your skills in this Data Engineering project! In this course you will apply a variety of data engineering skills and techniques you have learned as part of the previous courses in the IBM Data Engineering Professional Certificate. You will demonstrate your knowledge of Data Engineering by assuming the role of a Junior Data Engineer who has recently joined an organization and be presented with a real-world use case that requires architecting and implementing a data analytics platform.

Data Engineering Career Guide and Interview Preparation (Coursera)

https://www.coursera.org/learn/data-engineering-career-guide-and-interview-preparation

This course is designed to prepare you to enter the job market as a data engineer. It provides guidance about the regular functions and tasks of data engineers and their place in the data ecosystem, as well as the opportunities of the profession and some options for career development. It explains practical techniques for creating essential job-seeking materials such as a resume and a portfolio, as well as auxiliary tools like a cover letter and an elevator pitch. You will learn how to find and

Data Engineering in AWS (Coursera)

https://www.coursera.org/learn/data-engineering-in-aws

Data Engineering in AWS is the first course in the AWS Certified Machine Learning Specialty specialization. This course helps learners to analyze various data gathering techniques. They will also gain insight to handle missing data. This course is divided into two modules and each module is further segmented by Lessons and Video Lectures. This course facilitates learners with approximately 2:30-3:00 Hours Video lectures that provide both Theory and Hands -On knowledge. Also, Graded and Ungraded

Data Engineering on AWS - Foundations (Coursera)

https://www.coursera.org/learn/data-engineering-on-aws-foundations

In this course, you will learn essential data engineering concepts such as what does a data engineer do, how to perform data discovery, and which AWS data services are available for running, automating, and securing your data solutions and projects. The course introduces you to data engineering tools for continuous integration and continuous delivery (CI/CD), infrastructure as code (IaC), serverless applications, cost optimization, and authentication. You will also learn what networking concepts

Data Engineering with MS Azure Synapse Apache Spark Pools (Coursera)

https://www.coursera.org/learn/data-engineering-with-ms-azure-synapse-apache-spark-pools

In this course, you will learn how to perform data engineering with Azure Synapse Apache Spark Pools, which enable you to boost the performance of big-data analytic applications by in-memory cluster computing. You will learn how to differentiate between Apache Spark, Azure Databricks, HDInsight, and SQL Pools and understand the use-cases of data-engineering with Apache Spark in Azure Synapse Analytics. You will also learn how to ingest data using Apache Spark Notebooks in Azure Synapse Analytic

Data Engineering with Rust (Coursera)

https://www.coursera.org/learn/data-engineering-rust

Are you a data engineer, software developer, or a tech enthusiast with a basic understanding of Rust, seeking to enhance your skills and dive deep into the realm of data engineering with Rust? Or are you a professional from another programming language background, aiming to explore the efficiency, safety, and concurrency features of Rust for data engineering tasks? If so, this course is designed for you. While a fundamental knowledge of Rust is expected, you should ideally be comfortable with t

Data Ethics, AI and Responsible Innovation (Coursera)

https://www.coursera.org/learn/data-ethics-ai-and-responsible-innovation

Our future is here and it relies on data. Medical robots, smart homes and cities, predictive policing, artificial intelligences – all are fuelled by data and all promise new benefits to society. But will these innovations benefit everyone? Who stands to gain and who is put at risk? How can we ensure that data is part of a just and sustainable world? This story-driven course is taught by the leading experts in data science, AI, information law, science and technology studies, and responsible res

Data for Analysis with Microsoft Excel (Coursera)

https://www.coursera.org/learn/data-for-analysis-with-microsoft-excel

In this course, you’ll learn how to make use of Excel in business scenarios for data analysis. You’ll also learn how to utilize formulas and functions for data analysis.  Specifically, this course will help you gain knowledge and skills for preparing data for analysis using Microsoft Excel. 

Data for Business Analysts Using Microsoft Excel (Coursera)

https://www.coursera.org/learn/data-for-business-analysts-using-microsoft-excel

In this course, you’ll learn how to make use of Excel in business scenarios for data analysis. You’ll also learn how to utilize formulas and functions for data analysis.  Specifically, this course will help you gain knowledge and skills for preparing data for analysis using Microsoft Excel and take you one step closer to becoming a Business Analyst.  After completing this course, you’ll be able to:  • Identify and explain the steps involved in preparing data for analysis using Excel functions

Data for Machine Learning (Coursera)

https://www.coursera.org/learn/data-machine-learning

This course is all about data and how it is critical to the success of your applied machine learning model. Completing this course will give learners the skills to: Understand the critical elements of data in the learning, training and operation phases Understand biases and sources of data Implement techniques to improve the generality of your model Explain the consequences of overfitting and identify mitigation measures Implement appropriate test and validation measures. Demonstrate how the acc

Data Integration with Microsoft Azure Data Factory (Coursera)

https://www.coursera.org/learn/azure-data-factory-data-integration

In this course, you will learn how to create and manage data pipelines in the cloud using Azure Data Factory. This course is part of a Specialization intended for Data engineers and developers who want to demonstrate their expertise in designing and implementing data solutions that use Microsoft Azure data services. It is ideal for anyone interested in preparing for the DP-203: Data Engineering on Microsoft Azure exam (beta). This is the third course in a program of 10 courses to help prepare

Data Literacy Essentials (Coursera)

https://www.coursera.org/learn/sas-data-literacy-essentials

In this course, you learn the foundational knowledge and skills you need to engage with data in meaningful ways. This is an introductory data literacy course, starting with the basics: what is data, what does it mean to be data literate, and why is it important in today’s world. You will build data skills by following the journeys of a concerned parent, a small business owner, and a public health expert, all of whom rely on data to navigate the COVID-19 pandemic. By the end of this course, you

Data Literacy – What is it and why does it matter? (Coursera)

https://www.coursera.org/learn/data-literacy-what-is-it-and-why-does-it-matter

You might already know that data is not neutral. Our values and assumptions are influenced by the data surrounding us - the data we create, the data we collect, and the data we share with each other. Economic needs, social structures, or algorithmic biases can have profound consequences for the way we collect and use data. Most often, the result is an increase of inequity in the world. Data also changes the way we interact. It shapes our thoughts, our feelings, our preferences and actions. It de

Data Management and Storage in the Cloud (Coursera)

https://www.coursera.org/learn/data-management-and-storage-in-the-cloud

Hi again! This is the second course of the Google Cloud Data Analytics Certificate. Get cozy with the key components of data governance, normalized and star schemas, data catalogs, and data lakehouse architecture.

Data Management and Visualization (Coursera)

https://www.coursera.org/learn/data-visualization

Whether being used to customize advertising to millions of website visitors or streamline inventory ordering at a small restaurant, data is becoming more integral to success. Too often, we’re not sure how use data to find answers to the questions that will make us more successful in what we do. In this course, you will discover what data is and think about what questions you have that can be answered by the data – even if you’ve never thought about data before. Based on existing data, you will l

Data Management for Clinical Research (Coursera)

https://www.coursera.org/learn/clinical-data-management

This course presents critical concepts and practical methods to support planning, collection, storage, and dissemination of data in clinical research. Understanding and implementing solid data management principles is critical for any scientific domain. Regardless of your current (or anticipated) role in the research enterprise, a strong working knowledge and skill set in data management principles and practice will increase your productivity and improve your science. Our goal is to use these m

Data Manipulation at Scale: Systems and Algorithms (Coursera)

https://www.coursera.org/learn/data-manipulation

Data analysis has replaced data acquisition as the bottleneck to evidence-based decision making --- we are drowning in it. Extracting knowledge from large, heterogeneous, and noisy datasets requires not only powerful computing resources, but the programming abstractions to use them effectively. The abstractions that emerged in the last decade blend ideas from parallel databases, distributed systems, and programming languages to create a new class of scalable data analytics platforms that form