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Data Science

A comprehensive Data Science Course course with the basics of Python and Machine Learning.

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10 live projects + 1 capstone project

36+ hours of video content access

Weekly tasks and reports

Certificate of completion

OVERVIEW

Learn Data Science today

A comprehensive Data Science Course course with the basics of Python and Machine Learning.

Level: Beginner

Microsoft Azure

Azure Environment

Azure SQL Database

Azure Active Directory

Course Curriculum

Discover our comprehensive Cloud Computing course curriculum, designed to provide in-depth knowledge and practical skills.

Full course content

Class 1 - Introduction to Data Science and Python Basics
Class 2 - Python Basics Variables, data types, loops, conditions, & functions
Class 3 - Data Acquisition Data sources, data formats, Methods to collect and clean data
Class 4 - Data Exploration Descriptive statistics, data visualization, & correlation analysis
Class 5 - Data Preparation Data cleaning, feature scaling, encoding categorical data
Class 6 - Overview of machine learning, types of machine learning algorithms, & supervised learning
Class 7 - Data cleaning project using Python & Pandas during the live session
Class 8 - Linear Regression Simple linear regression, multiple linear regression
Class 9 - Classification Logistic regression, K-Nearest Neighbors, & model evaluation
Class 10 - Decision Trees Introduction to decision trees, Gini index, & Information gain
Class 11 - Random Forest Introduction to random forests, bagging, and boosting
Class 12 - Supervised learning project using scikit-learn during the live session
Class 13 - Introduction to unsupervised learning, clustering algorithms, and K-Means clustering
Class 14 - Introduction to principal component analysis (PCA) and t-Distributed (t-SNE)
Class 15 - Introduction to NLP, tokenization, stemming, & lemmatization
Class 16 - Introduction to sentiment analysis, preprocessing, feature extraction
Class 17 - Introduction to text classification, bag-of-words model, and Naive Bayes
Class 18 - Text classification project using NLP techniques during the live session
Class 19 - Introduction to artificial neural networks, perceptron
Class 20 - Neural network project using TensorFlow during the live session
Class 21 - Introduction to CNN, convolutional layers, & pooling layers
Class 22 - CNN project using TensorFlow during the live session
Class 23 - Recurrent Neural Networks (RNN) Introduction to RNN, LSTM, and GRU
Class 24 - Introduction to time series analysis, trend, seasonality, and autocorrelation
Class 25 - RNN project using TensorFlow during the live session
Class 26 - Introduction to forecasting, moving average, exponential smoothing

Meet our team of creative experts

Meet the talented and creative minds behind our work. Our mentors bring a wealth of experience and a passion for innovation to every mentorship course.

Ranjana Chawla

UI Designer

Ranjana Chawla

UI Designer

Ranjana Chawla

UI Designer

Teachnook Certificate

Upon successfully completing this course, you will receive a certificate of completion that helps potential employers assess your proficiency.

Pricing Plans

Experience the premium features at an affordable price. Get industrial experience, 10+ live working projects and mentorship from top 1 percentile mentors and much more. Choose the plan that suits your needs and take your practical and outcome based learning to the next level. Join today and lead tomorrow.

Self Paced

₹5500