Swathy Mugundan
Enhance your Python, Data Science & Statistics Proficiency with an Interactive and Creative Mentor !
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Swathy Mugundan
Masters degree
/ 55 min
About your data science tutor
Hi there! I'm Swathy Mugundan, a passionate data science tutor with a background in Computer Science & Engineering. My teaching philosophy centers around making complex concepts simple and relatable for all my students. I believe in creating a supportive and engaging learning environment where students feel motivated to explore the world of data science. My teaching approach is centered around personalised learning, ensuring each student in the class grasps the concepts effectively. I offer tailored study plans, practice exams and mock tests to enhance your skills. I specialize in teaching wide range of subjects including - Data Science, Data Analysis, Databases, Machine Learning, Python, Statistics, Tableau, and Microsoft Excel to students at all levels - from school to adults and professionals. My specialities encompass everything from Data Viz to Python and Statistical Analysis. I use personalized student engagement strategies to cater to individual learning styles, ensuring that each student grasps the concepts effectively. If you are looking to delve deeper into Data Science, Join me on this exciting journey of data science discovery, I cater to all levels of learners !! Let's navigate the world of Data Science together and unlock your full potential.
Swathy graduated from Pondicherry Engineering College
Data Science tutor skills
Assignment help
Business intelligence
Case Studies
Predictive modeling
Statistical analysis
Data engineering
CoTutorAI modules
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Learner types for data science class
Anxiety or Stress Disorders
Data Science for kids
Home schooled
Data Science for advanced
Data Science for beginners
Data Science for intermediate
Data Science for adults
Data sciece class overview
As a Data Analysis tutor, I specialize in teaching subjects like Databases, Machine Learning, Python, Statistics, Tableau, and Microsoft Excel to students of all levels. My teaching style is hands-on, practical, and concept-focused. I believe in problem-solving and provide a structured and systematic approach to learning. I make the learning process interactive and engaging for my students. I tailor my lessons to align with the student's interests and focus on practical skills in data analysis, machine learning, and statistical modeling. I also incorporate reviews to encourage collaborative learning among students. Before starting the lessons, I assess the student's data skills and interests to create a customized learning plan that suits their individual needs. With me, students can expect a comprehensive and engaging learning experience that focuses on real-world applications of the concepts taught.
Your data science tutor also teaches
Data Analysis
Data Science
Databases
Excel
Tableau
Microsoft Excel
Data Science concepts taught by Swathy
The Tutor and Student reviewed function concepts, including domain, range, and co-domain, by working through examples of linear, quadratic, and rational functions. They practiced calculating these values from given data and by analyzing function definitions, and discussed the general domain/range characteristics of different function types.
Domain
Range
and Codomain
Types of Functions and Their Domains/Ranges
Set Notation for Domain and Range
The tutor and student reviewed the definition and representation of functions, focusing on domain, range, and co-domain. They practiced identifying these elements from given functions and diagrams, and the student was assigned practice problems to reinforce the concepts for the next session.
Functions
Domain and Range
Co-domain
Representing Functions
The Student and Tutor reviewed homework on polynomial multiplication, focusing on correcting errors in combining like terms and handling negative signs. The session then introduced and practiced the FOIL method for multiplying binomials, working through several examples. The remaining practice problems using the FOIL method were assigned as follow-up work for the next session.
Polynomial Multiplication Basics
Mastering Signs in Polynomial Multiplication
The FOIL Method for Binomial Multiplication
The Student and Tutor reviewed polynomial addition and subtraction, then delved into polynomial multiplication. They covered the distributive property, the law of exponents, and practiced various multiplication problems, including monomials and binomials. The Tutor assigned 10 practice questions for homework to be reviewed in the next session.
Polynomial Addition & Subtraction Review
Sign Rules for Multiplication
Distributive Property for Polynomials
Combining Like Terms in Multiplication
Law of Exponents for Multiplication
The session focused on practicing the subtraction of polynomials, with the Student working through several problems. The Tutor addressed common errors related to sign changes and provided a comprehensive review of the rules for adding and subtracting signed numbers. The plan for the next class is to cover multiplication and division of polynomials, building on the reinforced understanding of addition and subtraction.
Rules for Adding Integers (Signed Numbers)
Subtraction of Polynomials
Standard Form of Polynomials
Rules for Subtracting Integers (Signed Numbers)
Grouping and Combining Like Terms
The Student and Tutor began the session by introducing polynomials, covering their definition, classification based on the number of terms, and how to determine their degree. They then moved on to polynomial operations, specifically addition and subtraction, practicing several addition problems. The plan for the next session includes practicing subtraction and then proceeding to multiplication and division of polynomials.
Identifying Like Terms
Subtracting Polynomials
Adding Polynomials
Understanding the Degree of a Polynomial
Classifying Polynomials by Number of Terms
What are Polynomials?
Teaching tools used by data science tutor
Google Colab
Jupyter Notebook
Interactive data science classes
Record lessons
Open Q&A
Note taking
Weekend lessons
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