Sonali Kubde
Hands-on Data Analysis lessons with problem solving focus




Data Science tutor - Sonali Kubde
Bachelors degree
/ 30 min
Data sciece class overview
Tutoring is not just about transferring knowledge; it's about fostering an environment where learners can thrive, explore, and become proficient in their chosen fields. As a tutor, my approach is to provide detail-oriented sessions tailored specifically to the needs of my students. Whether their focus is academic or industry-related, my goal is to guide them through the complexities of technology and prepare them for real-world challenges. Structured Learning Path Each tutoring session is structured to progressively build knowledge and skills. The journey begins with foundational concepts, gradually moving towards more complex aspects of the technology. This structured approach ensures that students of all levels can keep pace and thoroughly understand each topic before moving on to the next. Regular quizzes and assignments are integrated to reinforce the material covered and to assess understanding continuously. Customization to Meet Individual Needs Recognizing that each student has unique learning needs, I tailor my sessions to suit individual preferences and requirements. This customization might involve adjusting the pace of the course, focusing on particular areas of interest, or providing additional resources for independent study. I also encourage students to bring their project ideas, which we can develop together during the course, adding personal relevance and motivation to the learning process. Hands-on Project Experience The centerpiece of my tutoring approach is the hands-on project that we develop together. This project not only serves as a practical application of the theoretical knowledge but also helps students understand the workflow of real-world software development. We cover everything from initial planning and design to coding, testing, and deployment. This experience is invaluable as it equips students with the skills needed to handle actual tasks in a professional environment. Regular Feedback and Improvement Feedback is a crucial element of my teaching methodology. Regular feedback sessions help students identify their strengths and areas for improvement. I provide constructive criticism that is meant to encourage and guide students on their learning path. Similarly, I encourage students to give feedback on the tutoring sessions. This two-way feedback process helps maintain a dynamic learning environment that adapts to the needs of the students. Industry-Relevant Skills In addition to technical skills, I emphasize the development of soft skills such as problem-solving, critical thinking, and effective communication. These skills are often overlooked in traditional educational settings but are crucial in the industry. During our project work, students are encouraged to think critically about the solutions they are developing and to communicate their ideas and challenges clearly. Preparation for the Future By the end of the course, students will not only have a thorough understanding of the technology but also a project that they can showcase in their portfolio. This project serves as tangible proof of their capabilities and learning process, which is invaluable when applying for jobs or internships in the technology industry. Additionally, the skills they develop during the course will prepare them for future learning, whether they choose to advance in the same technology or explore new areas. Building a Healthy Learning Environment The pillars of my tutoring sessions—detail orientation, customization, hands-on experience, regular feedback, and a focus on industry-relevant skills—are designed to create a supportive and productive learning environment. My aim is not just to teach technology but to mentor students, guiding them towards achieving their personal and professional goals. Continuous Improvement and Lifelong Learning To further enhance the effectiveness of the tutoring sessions, I commit to continuous improvement in my teaching methods. This involves staying updated with the latest technological advancements and pedagogical strategies, ensuring that my students receive the most current and effective instruction. Additionally, I promote the concept of lifelong learning, encouraging students to view education as an ongoing process that extends beyond formal schooling or industry training.
Data Science tutor skills
Data engineering
Data visualization
Machine learning
Predictive modeling
Statistical analysis
Sonali graduated from Mumbai University


About your data science tutor
I have completed my bachelors(Mumbai University) and Masters(Syracuse, New York) of engineering in computer science. For nearly 2 years, I worked with a private company and had opportunities to teach and deliver the knowledge transfer to the new joinees all across the world. I do consider myself really good at multitasking, delegation, strategic thinking, explaining things in a detailed manner, and making presentations. My area of expertise is Python and SQL. In addition, I have good knowledge of business and data analysis including PowerBI, Tableau, Rstudio, SQL, Database Management System and much more.
Free lesson slots
1 / 1

Data Science concept taught by Sonali
Sonali assisted Manny during a Python quiz, where they focused on core programming concepts such as data types, loops, conditional statements, list indexing, and dictionary access. They specifically reviewed a problem involving `for` loops to clarify how variable values change during iterations. For their upcoming lesson, Sonali assigned Manny practice examples covering loops and functions.
While Loop Logic
Data Type Addition
List Multiplication
For Loop Accumulation
String-Integer Comparison
Sonali and Manny reviewed fundamental Python concepts, specifically control flow, conditional statements (if, else, elif), and loops (while, for). Manny actively practiced writing code for conditional checks and list iterations, and received a coding exercise for homework. Their next lesson will involve continuing with more Python exercises.
Sequential Control Flow
Conditional Control Flow (If-Else-Elif)
Indentation in Python
While Loop
For Loop
During a recent Python lesson, an instructor and a learner from St. Pete reviewed Python lists, tuples, sets, variable scope (local vs global), and the input function. The learner practiced accessing elements in nested lists and gained an understanding of the differences between various data structures. For further review, the instructor assigned handwritten notes on the diagrams.
Python Keywords
Variable Naming Rules
Local vs. Global Variables
Input Function
Nested Lists
During a recent lesson, Sonali and Manny explored the foundational aspects of Python, covering topics like interpreted versus compiled languages, primitive and non-primitive data types, and essential data structures including lists, tuples, sets, and dictionaries. They actively worked through examples, learning to create and manipulate these structures. Manny was assigned to review the lesson notes and find additional examples on the 'Gigs for Gigs' website.
Set
Tuple
List
String (str)
Primitive Data Types
High-Level Language
Interpreted Language
Dictionary
Sonali and Anitha worked on creating an SSIS package to transform and load data into SQL Server, focusing on dimensional modeling and star schema implementation. Anitha practiced extracting, transforming, and loading data using SSIS, and they troubleshooted issues related to primary key constraints. Sonali will provide additional help with Python and SQL if needed.
Star Schema
OLE DB Source/Destination
SQL Primary Key
SSIS Data Flow Task
Dimensional Modeling
Sonali assisted Clay with the installation of SQL Server Management Studio (SSMS) on his new PC, but they ran into installation and network connection errors. They agreed to further troubleshoot these issues, with Sonali planning to research the errors before their next session on Saturday.
Windows vs. Mac for SQL
PowerBI Performance
Connecting to SQL Server via SSMS
SQL Server Installation on Windows
Database Administration
Data Query Language (DQL)
Learner types for data science class
College
All Levels
School
Adult / Professional
Your data science tutor also teaches
Data Analysis
Power BI
Tableau
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