This program provides a comprehensive introduction to data science, equipping you with the skills to understand and apply data analytics in a business context. You will learn the core concepts of data science, including business problem identification, data analysis, and the use of industry tools like SQL, R, and Python. Gain hands-on experience in using data warehouses for business intelligence, working with Big Data tools, and performing advanced analytics such as regression modeling and natural language processing. You’ll also explore emerging technologies, data governance, and best practices for ethical data management, ensuring privacy and security. Throughout the program, you’ll develop the ability to create impactful visualizations, dashboards, and models, and effectively communicate your findings to diverse audiences. By the end, you’ll be equipped to drive business solutions by leveraging data, understanding business needs, and applying project management skills to data-driven projects.
Computer and Information Technology
Computer System Analyst
4 Semesters (12 weeks each)
Online/ Hybrid (Instructor-Led)
1344 Hours
16 Courses in Total
84 hours of instructor-led lectures and computer labs per course per semester
Accredited Diploma awarded upon successful completion of all courses
40 Weeks including schdeuled breaks
By the end of this comprehensive program, you’ll be equipped with the skills and knowledge to thrive in the world of data science and business intelligence. You’ll
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By the end of this comprehensive program, you’ll be equipped with the skills and knowledge to thrive in the world of data science and business intelligence. You’ll
Grasp the key concepts, roles, and components that form the backbone of data science.
Translate business needs into data-driven strategies and implement impactful analytics solutions.
Identify the most effective programs and technologies for your projects.
Discover opportunities to harness data for smarter, strategic decisions.
Evaluate the latest tools, trends, and technologies shaping the data landscape.
Build and query data warehouses, extract insights from NoSQL databases, and perform advanced analytics.
Apply regression models, machine learning, and natural language processing to solve real-world problems.
Present your findings through compelling reports, visualizations, and professional presentations.
Formulate effective business problem statements and map them to data solutions.
Turn raw data into interactive dashboards, visual narratives, and actionable insights.
Use cloud platforms to manage, model, and analyze data efficiently.
Collect, audit, and clean data to ensure it’s analysis-ready.
Introduction To Data Science
Students are introduced to the world of data science and learn about the key concepts of data science, the data science ecosystem, the role of data science in creating solutions to business problems, the roles and responsibilities of each major data science position, and examine the organizational goals and value provided by analytics and big data systems and processes.
Students learn about the collection, use, and storage of data
responsibly in accordance with customer expectations,
regulations, and laws. They will also learn the ethical way of
handling and managing data.
Students learn how to apply project management skills and
concepts to data science projects in various levels and types of
companies.
Students learn how to develop communication skills through verbal, visual, and written exercises. Students will then look at facilitating leadership and management skills in an era of dynamic and ongoing changes.
Students are introduced to the world of data science and learn about the key concepts of data science, the data science ecosystem, the role of data science in creating solutions to business problems, the roles and responsibilities of each major data science position, and examine the organizational goals and value provided by analytics and big data systems and processes.
Students learn about the collection, use, and storage of data responsibly in accordance with customer expectations, regulations, and laws. They will also learn the ethical way of handling and managing data.
Students learn how to apply project management skills and concepts to data science projects in various levels and types of companies.
Students learn how to develop communication skills through verbal, visual, and written exercises. Students will then look at facilitating leadership and management skills in an era of dynamic and ongoing changes.
Students will learn to use the main programs within the data
science ecosystem. We will focus on learning about SQL, R,
Python, Tableau, Power BI, and Spark. Each program will be
studied in how they fit in the overall process of data science
Excel is widespread in the data industry. It is a very powerful data analysis tool and almost all big and small businesses use Excel daily. This course is designed to give an introductory and applied knowledge of Excel towards data analysis and business statistics. Explore Certificate Course
Students learn how to apply project management skills and
concepts to data science projects in various levels and types of
companies.
Students learn how to develop communication skills through verbal, visual, and written exercises. Students will then look atfacilitating leadership and management skills in an era of dynamic and ongoing changes.
Students will learn to use the main programs within the data science ecosystem. We will focus on learning about SQL, R, Python, Tableau, Power BI, and Spark. Each program will be studied in how they fit in the overall process of data science
Excel is widespread in the data industry. It is a very powerful data analysis tool and almost all big and small businesses use Excel daily. This course is designed to give an introductory and applied knowledge of Excel towards data analysis and business statistics. Explore Certificate Course
Students learn how to apply project management skills and concepts to data science projects in various levels and types of companies.
Students learn how to develop communication skills through verbal, visual, and written exercises. Students will then look at facilitating leadership and management skills in an era of dynamic and ongoing changes.
This course introduces you to the fundamentals of data visualization and exploratory data analysis. The growing availability of informative datasets and software tools has led to increased reliance on data visualizations across many areas.
Students will learn about and use the main programs for big data. These programs include Hadoop, Spark, Hive, and Pig. Each program will be studied in how they fit in the overall process of data science.
Predictive analysis and machine learning are two of the most critical areas in analytics. Machine learning uses algorithms to track data and make predictions.
Learn to apply data analytics skills to the area of business intelligence (BI) with emphasis on the project lifecycle such as project planning, BI tool selection, data modeling, ETL design, BI application design and deployment and reporting.
This course introduces you to the fundamentals of data visualization and exploratory data analysis. The growing availability of informative datasets and software tools has led to increased reliance on data visualizations across many areas.
Students will learn about and use the main programs for big data. These programs include Hadoop, Spark, Hive, and Pig. Each program will be studied in how they fit in the overall process of data science.
Predictive analysis and machine learning are two of the most critical areas in analytics. Machine learning uses algorithms to track data and make predictions.
Learn to apply data analytics skills to the area of business intelligence (BI) with emphasis on the project lifecycle such as project planning, BI tool selection, data modeling, ETL design, BI application design and deployment and reporting.
Data engineers are on the front lines of data strategy and the first people to tackle structured and unstructured data that enters a company’s systems. Learning about Postgres, being able to build data pipelines, and how to optimize systems and algorithms for large volumes of data are all skills that will make data analytics easier and efficient.
This course introduces you cloud analytics using cloud computing. We will use a range of tools and techniques that help various companies acquire information from large volumes of data and present it that is available in a web browser.
This course introduces you to the exciting, dynamic, and rapidly evolving world of Artificial Intelligence (AI). We will look at the various methods that companies, organizations, and institutions can or potentially use AI to address their needs.
Showcasing the application of all learned techniques through a comprehensive and impactful final project presentation.
Data engineers are on the front lines of data strategy and the first people to tackle structured and unstructured data that enters a company’s systems. Learning about Postgres, being able to build data pipelines, and how to optimize systems and algorithms for large volumes of data are all skills that will make data analytics easier and efficient.
This course introduces you cloud analytics using cloud computing. We will use a range of tools and techniques that help various companies acquire information from large volumes of data and present it that is available in a web browser.
This course introduces you to the exciting, dynamic, and rapidly evolving world of Artificial Intelligence (AI). We will look at the various methods that companies, organizations, and institutions can or potentially use AI to address their needs.
Showcasing the application of all learned techniques through a comprehensive and impactful final project presentation.
At DataWiz College, we offer a range of career-focused diploma and certificate programs in data science, analytics, and emerging technologies. Whether you’re starting your career or looking to up skill, our hands-on, practical learning approach ensures you gain in-demand technical and analytical skills that employers are looking for. Each program is designed with real-world projects, industry tools, and job readiness training to help you confidently step into the workforce. Discover flexible, career-driven learning paths that empower you to succeed in today’s competitive, data-driven job market.
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