Data Structures are the programmatic way of storing data so that data can be used efficiently. Almost every enterprise application uses various types of data structures in one or the other way. This tutorial will give you a great understanding on the Data Structures needed to understand the complexity of enterprise-level applications and the need of algorithms, and data structures.
We will also be solving lots and lots of questions from websites like LeetCode, CodingBat, and HackerRank to improve our understanding and problem-solving skills.
Basic Python Crash Course
Algorithm Analysis and Big O
Data Structures and their Implementation
Searching and Sorting Algorithms and their Implementation
Who are MasterJi’s Instructors?
Our instructors are subject matter experts from top universities. Instructors are highly-vetted and background checked prior to joining and undergo extensive training before ever teaching on our platform.
With highly qualified, interactive, and experienced faculty, learning becomes engaging and effective. We at MasterJi aspire to take teaching to a new benchmark where skills are imparted in a unique way by building a super friendly teacher-student relation and at optimum prices.
For more information mail us at: firstname.lastname@example.org
This course includes
We in MasterJi classes believe that making real life projects is the best way to test your learning. For every course we encourage our students to build projects and enhance their learning experience
1-1 live sessions : Live sessions offer opportunities for interaction between students and with the instructor which in turn proves to be beneficial for better understanding and learning experience
After the completion of every level we provide Certificate of completion.
Completion of Python Level 2
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Our Fee Structure
For individuals choosing multiple classes per week, we provide the opportunity to enroll in additional classes at a discounted rate across all levels. The tuition for each additional once-a-week class is just $120 for a 4-week period.