Data Protection Courses

Advanced Data Applications and Integration

1 rating

Master advanced R programming through web data collection, interactive visualizations, large dataset handling, and cloud service integration with practical, step-by-step guidance.

• Coursera
• 19 hours 16 minutes
• Self-Paced
• Paid Course

Big Data Science with the BD2K-LINCS Data Coordination and Integration Center

1 rating

Explore big data science through LINCS program, covering metadata, APIs, bioinformatics pipelines, data normalization, clustering, enrichment analysis, machine learning, and interactive visualization. Apply knowledge to real-world projects.

• Coursera
• 9-10 hours
• Self-Paced
• Paid Course

PwC

Data Visualization with Advanced Excel

1 rating

Hands-on training in advanced Excel 2013, covering PowerPivot, data modeling, scenario analysis, and creating dynamic dashboards for effective data visualization and storytelling.

• Coursera
• 15 hours 11 minutes
• Self-Paced
• Paid Course

Edureka

MySQL for Data Analytics and Business Intelligence

1 rating

Learn MySQL for data analytics and business intelligence. Master SQL basics, data retrieval, relationships, and visualization. Gain skills to optimize queries, execute joins, and turn data into actionable insights.

• Coursera
• 4 hours 6 minutes
• Self-Paced
• Paid Course

Analysis and Visualization of Data with Power BI

1 rating

Master Power BI for data analysis, visualization, and storytelling. Create compelling reports, enhance accessibility, and gain deeper insights through advanced analytics and AI-driven techniques.

• Coursera
• 1 day 4 hours 42 minutes
• Self-Paced
• Paid Course

Coding and Automation for Data Analysis with Generative AI

1 rating

Harness AI-powered tools for code generation in SQL, Python, and R. Create complex formulas, automate data processing, and streamline your analysis workflow for enhanced productivity.

• Coursera
• 17 hours 58 minutes
• Self-Paced
• Paid Course

Data Processing Using Python

1 rating

Comprehensive Python course for non-CS majors, covering data acquisition, processing, analysis, and visualization. Includes practical applications in finance, humanities, and sciences using popular libraries.

• Coursera
• 1 day 7 hours 51 minutes
• Self-Paced
• Paid Course

Databases and SQL for Data Science with Python

1 rating

Master SQL for data science: from basics to advanced concepts. Hands-on practice with real databases, Python integration, and project work analyzing multiple datasets. Gain essential skills for data professionals.

• Coursera
• 18 hours 9 minutes
• Self-Paced
• Paid Course

Applied Data Science Capstone

1 rating

Predict SpaceX Falcon 9 first stage landing success using data science methodology, including data collection, analysis, visualization, and machine learning models.

• Coursera
• 14 hours 7 minutes
• Self-Paced
• Paid Course

Knowledge Accelerators

Data-Driven Decisions with Power BI

1 rating

Aprende a usar Power BI desde cero, gestionando páginas, visualizaciones y datos. Importa, conecta, limpia y modela datos, crea y publica informes, y domina la creación de dashboards.

• Coursera
• 9 hours 35 minutes
• Self-Paced
• Paid Course

Data Warehouse Fundamentals

1 rating

Learn to design, deploy, and manage data warehouses. Master ETL processes, querying techniques, and work with PostgreSQL and IBM Db2. Gain practical skills through hands-on labs and a real-world project.

• Coursera
• 15 hours 44 minutes
• Self-Paced
• Paid Course

Career Certificate

Emerging Technologies: From Smartphones to IoT to Big Data

Explore cutting-edge tech: Big Data, IoT, smartphones, AR, cloud computing. Gain expert knowledge for research, development, and strategic planning in advanced science and technology fields.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Big Data Emerging Technologies

Explore emerging big data technologies like Hadoop, Spark, and Storm. Learn industry rankings, product lines, and gain hands-on experience with IBM SPSS Statistics for strategic business planning.

• Coursera
• 1 day 5 hours 32 minutes
• Self-Paced
• Paid Course

Spatial Data Science and Applications

Explore spatial data science through GIS, DBMS, analytics, and big data systems. Learn key concepts, open-source tools, and real-world applications to differentiate your expertise in this growing field.

• Coursera
• 11 hours 40 minutes
• Self-Paced
• Paid Course

Career Certificate

Linear Algebra for Data Science Using Python

1 rating

Explore data science foundations through Python, covering linear algebra concepts, matrix operations, and regression models. Gain practical skills for analyzing large datasets and solving real-world problems.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses