Navneet Kumar
Roorkee/Online
Skills :
About :
I am a passionate Data Science professional and mentor with strong expertise in Python, Machine Learning, Statistics, and Data Analysis. With hands-on experience in real-world proj…
I am a passionate Data Science professional and mentor with strong expertise in Python, Machine Learning, Statistics, and Data Analysis. With hands-on experience in real-world projects, I help students and working professionals build a solid foundation in data science and apply concepts practically.
I specialize in:
Python for Data Science (Pandas, NumPy, Matplotlib, Seaborn)
Machine Learning (Supervised & Unsupervised Learning)
Deep learning (Transfer learning)
Natural language processing
Data Cleaning & Exploratory Data Analysis (EDA)
SQL for Data Analysis
Model Building & Evaluation
End-to-End Project Guidance
My teaching approach focuses on:
Concept clarity with real-life examples
Hands-on coding sessions
Industry-relevant projects
Interview preparation and career guidance
Whether you are a beginner starting your data journey or a professional looking to upgrade your skills, I provide structured, easy-to-understand lessons tailored to your goals.
Let’s learn data science the practical way and build skills that matter in the real world!
Navneet Kumar
Roorkee/Online
Skills :
I am a passionate Data Science professional and mentor with strong expertise in Python, Machine Learning, Statistics, and Data Analysis. With hands-on experience in real-world proj...
I am a passionate Data Science professional and mentor with strong expertise in Python, Machine Learning, Statistics, and Data Analysis. With hands-on experience in real-world projects, I help students and working professionals build a solid foundation in data science and apply concepts practically.
I specialize in:
Python for Data Science (Pandas, NumPy, Matplotlib, Seaborn)
Machine Learning (Supervised & Unsupervised Learning)
Deep learning (Transfer learning)
Natural language processing
Data Cleaning & Exploratory Data Analysis (EDA)
SQL for Data Analysis
Model Building & Evaluation
End-to-End Project Guidance
My teaching approach focuses on:
Concept clarity with real-life examples
Hands-on coding sessions
Industry-relevant projects
Interview preparation and career guidance
Whether you are a beginner starting your data journey or a professional looking to upgrade your skills, I provide structured, easy-to-understand lessons tailored to your goals.
Let’s learn data science the practical way and build skills that matter in the real world!
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Courses by Navneet Kumar
Online and Offline
6 Month
English, Hindi
Roorkee, New Adarsh Nagar Roorkee
On Call
Week Days / Weekends
Data Science Course by Navneet Kumar
Course Overview
This comprehensive Data Science course covers essential topics such as Python programming, statistics, data analysis, machine learning, and deep learning. Designed for beginners and those looking to enhance their skills, this course is perfect for students, professionals, and anyone interested in pursuing a career in data science. By enrolling, you will gain practical skills that are directly applicable in the industry, making you a valuable asset in today's data-driven world.
What Students Will Learn
1. Python for Data Science
Python Fundamentals (Variables, Data Types, Loops, Functions)
Object-Oriented Programming (OOP)
NumPy for Numerical Computing
Pandas for Data Manipulation
Data Cleaning & Preprocessing
Working with CSV, Excel & APIs
Mini Project: Sales Data Analysis
2. Statistics & Mathematics
Descriptive Statistics
Probability Theory
Data Distributions (Normal, Binomial)
Hypothesis Testing
Correlation & Covariance
Linear Algebra Basics for ML
3. Data Analysis & Visualization
Exploratory Data Analysis (EDA)
Feature Engineering
Handling Missing Values & Outliers
Data Visualization using Matplotlib & Seaborn
Business Dashboard Overview (Power BI / Tableau)
Mini Project: Business Insights Dashboard
4. SQL for Data Analysis
Database Concepts
SELECT, WHERE, GROUP BY, HAVING
JOINS & Subqueries
Window Functions
Real-world Query Practice
Mini Project: Customer Insights Analysis
5. Machine Learning
Supervised Learning
Linear Regression
Logistic Regression
Decision Trees
Random Forest
K-Nearest Neighbors (KNN)
Model Evaluation Metrics
Unsupervised Learning
K-Means Clustering
Hierarchical Clustering
Principal Component Analysis (PCA)
Advanced ML Concepts
Feature Selection
Cross Validation
Hyperparameter Tuning
Pipeline Creation
Major Project: End-to-End ML Model
6. Deep Learning Basics
Introduction to Neural Networks
Artificial Neural Networks (ANN)
TensorFlow / Keras Basics
Image or Text Classification Mini Project
Teaching Method & Learning Approach
This course will be delivered in an online format, allowing for flexible learning. Navneet Kumar employs a concept-based and practice-oriented teaching style, ensuring that students not only understand the theory but also apply it practically. Interactive sessions will include hands-on projects, quizzes, and discussions to enhance student engagement and comprehension.
Why Learn From This Tutor
Navneet Kumar is dedicated to providing clear explanations and structured guidance throughout the course. His approach focuses on student support, offering assistance and feedback to ensure that each learner can progress confidently and effectively.
Location Context
While the course is offered online, students from Roorkee and neighboring areas will find it convenient to connect with a local tutor who understands regional industry needs.
Benefits & Learning Outcomes
By the end of this course, you will:
Achieve concept clarity in data science fundamentals.
Build confidence to tackle real-world data challenges.
Improve your skills and readiness for exams or job opportunities in data science.