Applied Data Science Courses
Applied Data Science courses can help you learn data analysis, statistical modeling, machine learning, and data visualization techniques. You can build skills in data cleaning, exploratory data analysis, and predictive analytics to derive insights from complex datasets. Many courses introduce tools like Python, R, and SQL, along with libraries such as Pandas and Scikit-learn, that support implementing data-driven solutions and automating processes in real-world applications.
Popular Applied Data Science Courses and Certifications
Skills you'll gain: Portfolio Management, Risk Analysis, Investment Management, Time Series Analysis and Forecasting, Financial Modeling, Object Oriented Programming (OOP), Statistical Analysis, Simulations, Regression Analysis, Jupyter, Python Programming, Programming Principles, Pandas (Python Package), NumPy, Matplotlib, Data Manipulation
Status: NewStatus: Free TrialSkills you'll gain: Investigation, NIST 800-53, Cyber Security Assessment, Personally Identifiable Information, Failure Analysis, Root Cause Analysis
Google Cloud
Skills you'll gain: Google Cloud Platform, Query Languages, Data Access, Gemini, Big Data, SQL, Ad Hoc Analysis, Analysis
Status: Free TrialSkills you'll gain: Data Analysis Expressions (DAX), Power BI, Dashboard, Pivot Tables And Charts, Data Transformation, Data Visualization Software, Interactive Data Visualization, Data Modeling, Data Presentation, Data Manipulation, Business Intelligence, Microsoft Excel, Microsoft Power Platform, Report Writing, Data Cleansing
Skills you'll gain: SQL, Query Languages, Data Access, Database Software, Relational Databases, Data Manipulation, Problem Solving
Status: Free TrialCorporate Finance Institute
Skills you'll gain: Data Preprocessing, Feature Engineering, Data Import/Export, Exploratory Data Analysis, Data Cleansing, Statistical Visualization, Data Manipulation, Data Visualization, Data Transformation, Pandas (Python Package), Box Plots, Python Programming, Data Science, Scikit Learn (Machine Learning Library)
Status: Free TrialSkills you'll gain: Apache Hadoop, Apache Spark, PySpark, Apache Hive, Big Data, IBM Cloud, Kubernetes, Docker (Software), Scalability, Data Processing, Development Environment, Distributed Computing, Performance Tuning, Data Transformation, Debugging
Status: Free TrialSkills you'll gain: Google Cloud Platform, Data Storage Technologies, Database Administration, Database Architecture and Administration, Data Management, Databases, Dataflow, Data Import/Export, Cloud API
Status: PreviewGoogle Cloud
Skills you'll gain: Google Sheets, Data Literacy, Data Visualization Software, Spreadsheet Software, Big Data, Data Storytelling, Data Analysis, Data Presentation, Google Cloud Platform, Data Integration, Data Manipulation
Status: Free TrialSkills you'll gain: SAS (Software), Forecasting, Data Visualization Software, Time Series Analysis and Forecasting, Data-Driven Decision-Making, Predictive Analytics, Geospatial Mapping, Data Analysis, Geographic Information Systems, Data Manipulation, Data Transformation, Statistical Programming
Status: Free TrialSkills you'll gain: Professional Networking, Interviewing Skills, LinkedIn, Technical Communication, Professional Development, Data Strategy, Data Ethics, Data Infrastructure, Data Pipelines, Verbal Communication Skills, Communication Strategies
Status: NewStatus: Free TrialSkills you'll gain: Microsoft Excel, Excel Formulas, Pivot Tables And Charts, Spreadsheet Software, Data Analysis Expressions (DAX), Financial Forecasting, Financial Modeling, Financial Analysis, Business Analysis, Data-Driven Decision-Making, Data Manipulation
Searches related to applied data science
In summary, here are 10 of our most popular applied data science courses
- Python for Finance: Investment Fundamentals & Data Analytics: Packt
- Analyze, Create, and Secure Data with Zero Trust: Coursera
- Explore Data with Gemini in BigQuery: Google Cloud
- Data Preparation and Visualization with Power BI: Packt
- Retrieve Data using Single-Table SQL Queries: Coursera
- Data Prep for Machine Learning in Python: Corporate Finance Institute
- Introduction to Big Data with Spark and Hadoop: IBM
- Cloud Spanner - Loading Data and Performing Backups: Google Cloud
- Analyzing and Visualizing Data the Google Way: Google Cloud
- Using Data for Geographic Mapping and Forecasting in SAS Visual Analytics: SAS
