Technical Capability Building (Technical Skills)

What's in it For You?

• Master the most up-to-date practical skills and knowledge that back-end developers use in their daily roles.
• Learn to deploy and scale applications using methodologies and tools, Docker, Kubernetes, microservices, and serverless functions.
• Write back-end applications with object-oriented programming languages including server-side Python while using version control and package managers.
• Employ continuous integration / continuous development (CI/CD) and monitoring methodologies to facilitate software development life-cycle automation.
  

What's in it For You?

• Master the most up-to-date practical skills and tools that front-end developers use in their daily roles.
• Learn how to develop web pages using programming languages like HTML, CSS,  JavaScript, and React.
• Apply user interface and user experience (UI/UX) principles and best practices; manage your code with GitHub repositories and branches.
• Gain technical experience through hands-on labs and projects and build a portfolio to showcase your work to potential employers.

What's in it For You?

•    Describe the components of the project planning phase and their significance. 
•    Identify tools and best practices to build a project plan and risk management plan.  
•    Describe how to estimate, track, and maintain a budget. 
•    Draft a communication plan and explain how to manage it.

What’s in It for You?

• Create a responsive website using HTML, CSS, and JavaScript for interactive experiences.  
• Learn to use React with JavaScript libraries and frameworks.  
• Gain experience in the Bootstrap CSS framework and version control with GitHub.  
• Prepare for coding interviews and build portfolio-ready projects for job interviews.

What’s in It for You?

What’s in It for You?

• Gain a deep understanding of the practices and processes used by junior or associate data analysts in their daily work.  
• Develop essential analytical skills, including data cleaning, analysis, and visualization, using tools like spreadsheets, SQL, R programming, and Tableau.  
• Learn how to clean and organize data for effective analysis and perform calculations with spreadsheets, SQL, and R programming.  
• Master the ability to visualize and present data insights using dashboards, presentations, and popular visualization platforms.

What’s in It for You?

• Master the latest practical skills and tools used by data analysts in their daily roles.
• Learn to visualize data and present findings using various charts in Excel spreadsheets and BI tools like IBM Cognos Analytics and Tableau.
• Develop a working knowledge of Python for data analysis using libraries like Pandas and Numpy, and learn to invoke APIs and Web Services.
• Gain technical experience through hands-on labs and projects, and build a portfolio to showcase your work.

What’s in It for You?

• Use SQL commands to filter, sort, and summarize data; manipulate strings, dates, and numerical data from different sources for analysis.
• Assess and create datasets to address business questions and problems using SQL.
• Use the collaborative Databricks workspace to create an end-to-end pipeline that reads, transforms, and saves data.
• Develop a project proposal, select data, perform statistical analysis, develop metrics, present findings, and make recommendations.

What’s in It for You?

• Describe the data ecosystem, tasks a Data Analyst performs, and the skills and tools required for successful data analysis.
• Explain basic spreadsheet functionality and use Excel for various data analysis tasks such as data wrangling and data mining.
• List different types of charts and plots, create them in Excel, and use them to generate interactive dashboards.

What’s in It for You?

• Learn in-demand skills from university and industry experts.
• Master a subject or tool through hands-on projects.
• Develop a deep understanding of key concepts

What’s in It for You?

•  Describe data science and machine learning, their applications, use cases, and tasks performed by data scientists
• Gain hands-on familiarity with common data science tools including JupyterLab, R Studio, GitHub, and Watson Studio
• Develop a data scientist mindset and follow methodologies to tackle various data science problems
• Write SQL statements and query Cloud databases using Python in Jupyter notebooks

What’s in It for You?

• Master up-to-date practical skills and knowledge used by data analysts in daily roles. 
• Perform data analysis, including data preparation, statistical analysis, and predictive modeling using R, R Studio, and Jupyter.
• Utilize Excel for data analysis tasks such as data wrangling, using pivot tables, data mining, and creating charts.
• Communicate data findings using various visualization techniques, including charts, plots, and interactive dashboards with Cognos and R Shiny

What’s in It for You?

• Master up-to-date practical skills and knowledge used by data scientists.
• Learn tools, languages, and libraries used by professional data scientists, including Python and SQL.
• Import and clean data sets, analyze and visualize data, and build machine learning models and pipelines.
• Apply skills to real-world projects and build a portfolio of data projects to showcase proficiency to employers.

What’s in It for You?

• Manage Azure resources for machine learning
• Run experiments and train models
• Deploy and operationalize ethical machine learning solutions

What’s in It for You?

• Understand the cybersecurity landscape and core concepts foundational to security, compliance, and identity solutions. 
• Recognize vulnerabilities in an organization's network and mitigate attacks to protect data. Develop and implement threat mitigation strategies using effective cybersecurity measures within an Azure environment.
• Demonstrate skills with a capstone project and prepare for the industry-recognized Microsoft SC-900 Certification exam

What’s in It for You?

•  Learn to use Power BI to connect to data sources and transform them into meaningful insights
• Prepare Excel data for analysis in Power BI using common formulas and functions
• Use Power BI's visualization and report capabilities to create compelling reports and dashboards
• Demonstrate skills with a capstone project and prepare for the industry-recognized Microsoft PL-300 Certification exam

What’s in It for You?

• Master Azure compute solutions and develop serverless applications.
• Gain expertise in Azure storage, data management, and securing cloud data.
• Connect and consume Azure and third-party services.
• Prepare for the AZ-204 certification exam and enhance your technical proficiency.

What’s in It for You?

• Gain expertise in managing identity, securing applications and data, and overseeing security operations using Azure tools.

What’s in It for You?

• Gain an immersive understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job.
• Learn key analytical skills (data cleaning, analysis, & visualization) and tools (spreadsheets, SQL, R programming, Tableau).
• Understand how to clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL, and R programming.
• Learn how to visualize and present data findings in dashboards, presentations, and commonly used visualization platforms.

What’s in It for You?

• Automate tasks by writing Python scripts.
• Use Git and GitHub for version control.
• Manage IT resources at scale, both for physical machines and virtual machines in the cloud.
• Analyze real-world IT problems and implement appropriate strategies to solve them.