Data Scientist (Master Course)

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Course Content

Foundations

Introduction to Data Science

00:00
Basics of Python programming

00:00
Introduction to Pandas library

00:00
Data cleaning and preprocessing

00:00
Exploratory Data Analysis (EDA)

00:00

Statistics

Machine Learning Basics

Advanced ML

Specializations I

Practical Applications I

Practical Applications II

Capstone and Prep

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Data Scientist (Master Course)

Course Content

Foundations

Introduction to Data Science

Basics of Python programming

Introduction to Pandas library

Data cleaning and preprocessing

Exploratory Data Analysis (EDA)

Statistics

Introduction to Statistics

Descriptive statistics

Probability distributions

Hypothesis testing

Machine Learning Basics

Introduction to Machine Learning

Linear Regression

Classification Algorithms

Advanced ML

Unsupervised Learning

Support Vector Machines (SVM)

Neural Networks and Deep Learning

Specializations I

Natural Language Processing (NLP)

Time Series Analysis

Practical Applications I

Model Evaluation and Hyperparameter Tuning

Ensemble Learning

Practical Applications II

Introduction to Big Data and Tools

Web Scraping and Data Acquisition

Capstone and Prep

Capstone Project

Resume Building and Portfolio Creation

Interview Preparation

Networking and Job Search Strategies

Hello Students!

Course Content

Foundations

Introduction to Data Science

Basics of Python programming

Introduction to Pandas library

Data cleaning and preprocessing

Exploratory Data Analysis (EDA)

Statistics

Introduction to Statistics

Descriptive statistics

Probability distributions

Hypothesis testing

Machine Learning Basics

Introduction to Machine Learning

Linear Regression

Classification Algorithms

Advanced ML

Unsupervised Learning

Support Vector Machines (SVM)

Neural Networks and Deep Learning

Specializations I

Natural Language Processing (NLP)

Time Series Analysis

Practical Applications I

Model Evaluation and Hyperparameter Tuning

Ensemble Learning

Practical Applications II

Introduction to Big Data and Tools

Web Scraping and Data Acquisition

Capstone and Prep

Capstone Project

Resume Building and Portfolio Creation

Interview Preparation

Networking and Job Search Strategies

Student Ratings & Reviews

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