Sharmin M.

Years of Experience in Data Science Classes

6

Teaching Experience in detail in Data Science Classes

Experience in solving and training professionals for coding in hive,bigdata,r,sas,python,many more products and services to refer.

Years of Experience in Data Analysis Classes

6

Teaching Experience in detail in Data Analysis Classes

1)Experience in solving live data analysis with multiple tools 2)Candidates stuck up in any project related to Data Analysis can join the course and can get help in solving their project related to same. 3)Finance data,applications data,Sales data,telecom data,etc can be solved with candidates

UrbanPro Certified Tutor

For Python Training

Years of Experience in Python Training classes

6

Teaching Experience in detail in Python Training classes

I have extensive experience in teaching Python programming to individuals with varying levels of expertise. Over the years, I have conducted numerous training sessions, workshops, and online courses focused specifically on Python. In my teaching approach, I prioritize creating a structured and engaging learning environment. I begin with an introduction to the fundamentals of Python, including variables, data types, control structures, and functions. I emphasize hands-on learning by providing coding exercises and projects that allow students to apply what they've learned and reinforce their understanding. I believe in the importance of practical examples, so I incorporate real-world scenarios and use cases to demonstrate how Python can be applied in different domains. Whether it's data analysis, web development, machine learning, or automation, I tailor the content to the specific interests and goals of the learners. During the training sessions, I encourage active participation and foster a collaborative learning environment. I answer questions, address doubts, and provide personalized guidance to ensure that each student grasps the concepts effectively. I also encourage peer-to-peer interaction, allowing students to learn from each other's experiences and insights. In addition to teaching the core Python concepts, I introduce students to popular libraries and frameworks that enhance Python's capabilities. These include NumPy for scientific computing, Pandas for data manipulation, Matplotlib for data visualization, and Django or Flask for web development. I guide students through practical exercises and projects that involve these tools, enabling them to gain hands-on experience and become proficient in utilizing them. Throughout the training process, I continuously assess students' progress through assignments, quizzes, and coding challenges. This helps me identify areas where students may need additional support and enables me to provide targeted assistance where required. In summary, my teaching experience in Python training encompasses a structured curriculum, hands-on learning, real-world examples, personalized guidance, and assessment. My goal is to empower students with a strong foundation in Python programming and equip them with the skills and knowledge to excel in their Python projects and endeavors.

Years of Experience in Microsoft Excel Training classes

6

Years of Experience in Java Training Classes

6

Years of Experience in SQL Programming Training

8

Years of Experience in Microsoft Power BI classes

6

Teaching Experience in detail in Microsoft Power BI classes

I am a Business Intelligence (BI) specialist with extensive experience in leveraging Power BI to transform complex data into clear, actionable insights. With a strong foundation in data modeling, ETL processes, and the use of Power Query and DAX, I have developed scalable BI solutions that drive informed decision-making. I am skilled in creating interactive, visually appealing dashboards and reports that empower businesses to make data-driven decisions with ease. My passion lies in using data to solve business challenges, and I am dedicated to delivering solutions that align with both business needs and technical requirements.

Years of Experience in AI Training

4

Years of Experience in C++ Language Classes

6

Teaching Experience in detail in C++ Language Classes

I have extensive experience teaching C++ programming, covering a range of topics from basic syntax to advanced concepts like object-oriented programming (OOP), memory management, and data structures & algorithms. My teaching has been tailored for beginners, intermediate learners, and advanced programmers, including students in academia and professionals in software development. Teaching Experience in C++ 1. Fundamentals of C++ (Beginner Level) Introduction to C++: History, importance, and comparison with other languages (e.g., Python, Java). Syntax & Basic Constructs: Variables, data types, operators, control flow (if-else, loops). Functions & Modular Programming: Function prototypes, recursion, function overloading. 2. Object-Oriented Programming (Intermediate Level) Classes & Objects: Encapsulation, constructors, destructors. Inheritance & Polymorphism: Types of inheritance, virtual functions, function overriding. Operator Overloading: Customizing operators for user-defined types. 3. Advanced C++ Concepts (Advanced Level) Memory Management: Pointers, dynamic memory allocation (new and delete), smart pointers (unique_ptr, shared_ptr). Exception Handling: Try-catch blocks, custom exception classes. Templates & Generic Programming: Function templates, class templates, Standard Template Library (STL). 4. Competitive Programming & Algorithm Implementation Data Structures in C++: Arrays, linked lists, stacks, queues, trees, graphs. Algorithm Optimization: Sorting, searching, dynamic programming. STL Utilization: Efficient use of vector, map, set, and priority_queue for problem-solving. 5. Industry Applications & Best Practices Multi-threading in C++: Using std::thread for parallel execution. File Handling: Reading/writing files, serialization. Software Development with C++: Design patterns, performance optimization, debugging techniques. Teaching Methods Live Coding Sessions: Hands-on approach with real-time problem-solving. Project-Based Learning: Assigning mini-projects like a simple game, calculator, or file manager. Code Reviews & Debugging Practice: Teaching best practices for clean, efficient, and error-free code. Competitive Coding Challenges: Helping students practice on platforms like LeetCode, Codeforces, and HackerRank.

Years of Experience in Big Data Training

2