Gaining domain knowledge is a crucial component of your data analytics program. In this module, you’ll develop a deeper understanding of the industry and its terminologies. As data is the heart of data analytics, mastering database concepts is a critical step in your learning journey.

“This is the centerpiece of your program where you’ll gain hands-on experience with the tools of the trade. A significant portion of the training will focus on SAS Studio, while you’ll also receive introductory sessions on Python and R programming.
By the end of this module, you’ll have honed your skills and be ready to tackle real-world data analytics projects.”

Assignments play a critical role in your learning journey, as they provide an opportunity to apply the concepts and skills you’ve learned in a practical setting. In this program, you’ll be given a variety of assignments designed to challenge and stretch your abilities. These assignments may take the form of case studies, group projects, or individual exercises. By working on these assignments, you’ll be able to demonstrate your understanding of the material and receive feedback on your progress. Furthermore, the experience you gain from these assignments will be invaluable as you build your portfolio and prepare for real-world data analytics projects.

Mid-week projects are an integral part of your training program, as they provide a hands-on opportunity to apply the concepts and techniques you’ve learned so far. In this program, you’ll be given four mid-week projects that are designed to test and build your skills in a real-world setting. These projects will challenge you to think critically, collaborate with others, and demonstrate your mastery of the material. By working on these projects, you’ll have the opportunity to showcase your abilities and receive feedback from your instructors. The experience you gain from these projects will be invaluable, as it will help you build your portfolio and prepare you for more complex data analytics projects in the future.

The final major project is the capstone of your training program, and represents a significant opportunity to demonstrate your skills and knowledge. This complex project will require you to apply the concepts and techniques you’ve learned throughout the program to a real-world data analytics challenge. You’ll have the chance to work independently or in a team, and to showcase your abilities in areas such as data collection, cleaning, visualization, analysis, and interpretation. The project will be closely monitored and evaluated by your instructors, and you’ll receive feedback on your performance. Completing the final major project successfully will not only provide you with a sense of accomplishment but also serve as a valuable addition to your portfolio and demonstrate your readiness for a career in data analytics.

It’s important to submit your project within the specified timeline to ensure that you have the opportunity to receive feedback and make any necessary improvements before the final deadline. Submitting your project on time also demonstrates your commitment and professionalism, and is a valuable skill to have in any career.

The mentor’s review after project submission is an essential part of the learning process, as it provides valuable feedback and insights on your work. Your mentor will assess your project and provide constructive criticism, highlighting areas of strength and areas for improvement. This feedback will help you understand how to better approach future projects and continue to develop your skills. Additionally, the mentor’s review can provide guidance on how to take your skills to the next level and advance in your career.

On successful completion of your Program you will be awarded with the recommendation letter from Owitechs PTY LTD

At Owitechs, while we cannot guarantee a placement, we are committed to providing you with the support and resources you need to succeed in your career. Our team of experts and vast network of professionals will work with you to enhance your profile and provide personalized recommendations