Data Analytics and Visualization Boot Camp
The Data Analytics and Visualization Boot Camp is an intensive training program designed to shape the future of data analysis experts nationwide. Data analytics has become a vital competent to help businesses gain insights, develop strategies, and inform other essential business decisions. The right data analytics training and certification will allow you to stand out to employers and further your career in this in-demand and lucrative role.
This boot camp was developed in collaboration with...
Data Analytics and Visualization Boot Camp
Details + Objectives
Course code: GES3087
What you will learn
- Gain proficiency in the data analysis process, from data gathering to sharing insights, utilizing tools like Excel and Python for data cleaning, transformation, and analysis
- Develop interactive dashboards and reports using Excel and Power BI, enabling data-driven decision-making based on quantitative insight
- Acquire essential skills in Python programming, including variables, data types, operators, and leveraging built-in modules and libraries for extended functionality
- Learn SQL querying techniques for efficient data retrieval, modification, and structured data organization to maintain integrity
How you will benefit
- Discover ways to gather and collect data from various sources, including databases
- Clean and preprocess raw data to ensure accuracy, consistency, and suitability for analysis
- Understand how to analyze data using statistical techniques
- Create visually appealing and informative charts, graphs, and dashboards to effectively communicate findings and insights to stakeholders
- Leverage your PL-300 certification to demonstrate your hands-on experience in Power Platform solutions, helping you stand out to employers
- Position yourself to earn a higher salary compared to non-certified individuals, with entry-level positions for Power BI analysts starting at $82,884 annually
- Prepare for two primary entry-level job roles in the data analytics and visualization sector: Power BI analyst and Data analyst
How the course is taught
- Self-paced, online course
- 6 Months to complete
- Open enrollment, begin anytime
- 223 course hours
Instructors & Support
Khurram Pirzada
Khurram is a Data Scientist and the Main Instructor for the Data Analytics and Visualization boot camp. He brings a wealth of experience and expertise to the classroom. With a background in computer science and a Ph.D. in the field, he is well-equipped to teach and guide students in data science and AI/ML.
His work experience includes serving as a Senior Data Scientist at WG Consultancy, where he worked with a European energy producer to leverage AI and Big Data to optimize complex systems and adapt to market dynamics. Additionally, his time at the Land Transportation Authority in Singapore allowed him to contribute to a government initiative to implement a unified transportation portal, where he played a key role in gathering and analyzing requirements and managing platform selection.
He also worked as a Data Scientist at Telefonica Deutschland GmbH & OGH, a telecom giant, where he developed mathematical models and optimization techniques to address network infrastructure competition and detect financial leakages and fraud. Throughout his career, he has honed his skills in SQL, Visual Studio, Power BI (DAX), predictive modeling, data and decision analytics, and math and statistics.
His educational background includes a Ph.D. in Computer Science from the University of South Africa, an MS in Computer Sciences from Universität des Saarlandes in Germany, and a BS in Computer Science from The National College in Pakistan. These qualifications and his professional accomplishments contribute to his ability to teach and guide students in data science and analytics effectively.
He is passionate about sharing his knowledge and helping students succeed in becoming proficient data scientists. He looks forward to engaging with students in the classroom, conducting webinars on career paths, and preparing engaging lessons and projects for the Data Science/AIML boot camp.
Requirements
Prerequisites:
Students should possess a fundamental understanding of basic computer operations, such as file management (ability to create, rename, move, and delete files and folders), software installation (proficiency in installing and uninstalling software is essential, this includes understanding the process of downloading software, running installation wizards, and managing software updates), and system navigation (ability to navigate the operating system interface with ease)
To successfully complete the boot camp program, students are expected to dedicate a minimum of 20-25 hours per week. This time commitment includes activities such as reading course materials, reviewing video lectures, and conducting additional research as necessary.
Requirements:
Hardware Requirements:
- This course can be taken on either a PC or Mac. Chromebooks are not compatible.
Software Requirements:
- PC: Windows 10 or later.
- Mac: macOS 10.6 or later.
- Browser: The latest version of Google Chrome or Mozilla Firefox is preferred. Microsoft Edge and Safari are also compatible.
- Microsoft Word Online
- Adobe Acrobat Reader
- Software must be installed and fully operational before the course begins.
Other:
- Email capabilities and access to a personal email account.
Instructional Material Requirements:
The instructional materials required for this course are included in enrollment and will be available online.