Principles of Data Visualization Creating Charts and Graphs Using Python Tools: Matplotlib, Seaborn, Plotly Dashboard Development Using Tableau/Power BI Advanced Visualizations: Heatmaps, Pair Plots, and Geographic Plots

Introduction to Time Series Data ARIMA and SARIMA Models Forecasting Techniques Seasonal Decomposition of Time Series (STL) Handling Stationarity in Time Series

Predictive Modeling with Real-world Data Customer Segmentation for E-commerce Sentiment Analysis on Social Media Data Time Series Forecasting for Stock Prices Building a Recommendation System

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Beginner's Guide to Data Science

These tutorials will provide you with a solid foundation in Data Science and prepare you for your career goals.

Introduction to Data Science

What is Data Science?
History and Evolution of Data Science
Applications of Data Science
Difference Between Data Science, Machine Learning, and AI
Role of a Data Scientist
Data Science Workflow and Lifecycle

Data Collection and Preprocessing

Types of Data: Structured, Unstructured, Semi-structured
Data Sources: Databases, APIs, Web Scraping
Data Cleaning and Preprocessing
Handling Missing Data
Exploratory Data Analysis (EDA)
Feature Engineering
Data Transformation Techniques

Mathematics and Statistics for Data Science

Probability Basics
Descriptive Statistics: Mean, Median, Mode, Variance
Inferential Statistics: Hypothesis Testing, p-value
Linear Algebra for Data Science
Calculus in Machine Learning
Bayesian Statistics
Random Variables and Distributions

Programming for Data Science

Python Basics for Data Science
Libraries: NumPy, Pandas, Matplotlib, Seaborn
Writing Functions and Loops in Python
Handling DataFrames and Series
R Programming Basics
SQL for Data Science
Writing SQL Queries
Joins and Subqueries
Aggregations and Window Functions

Data Visualization

Principles of Data Visualization
Creating Charts and Graphs Using Python
Tools: Matplotlib, Seaborn, Plotly
Dashboard Development Using Tableau/Power BI
Advanced Visualizations: Heatmaps, Pair Plots, and Geographic Plots

Machine Learning Basics

Introduction to Machine Learning
Supervised vs. Unsupervised Learning
Regression Analysis: Linear and Logistic Regression
Classification Algorithms: Decision Trees, SVM, k-NN
Clustering: k-Means, Hierarchical Clustering
Dimensionality Reduction Techniques: PCA, t-SNE

Advanced Machine Learning

Ensemble Learning Techniques: Bagging, Boosting
Random Forests and Gradient Boosting Machines
Neural Networks Basics
Deep Learning Fundamentals
Reinforcement Learning
Model Tuning: Grid Search, Random Search, Hyperparameter Optimization

Big Data Technologies

Introduction to Big Data
Hadoop Ecosystem: HDFS, MapReduce
Apache Spark Basics
Data Streaming with Kafka
Working with NoSQL Databases

Natural Language Processing (NLP)

Introduction to NLP
Text Preprocessing: Tokenization, Lemmatization, Stemming
Sentiment Analysis
Topic Modeling with LDA
Text Classification
Word Embeddings: Word2Vec, GloVe

Time Series Analysis

Introduction to Time Series Data
ARIMA and SARIMA Models
Forecasting Techniques
Seasonal Decomposition of Time Series (STL)
Handling Stationarity in Time Series

Deep Learning and Neural Networks

Introduction to Neural Networks
Convolutional Neural Networks (CNNs) for Image Data
Recurrent Neural Networks (RNNs) for Sequential Data
Autoencoders and Variational Autoencoders
Transfer Learning with Pre-trained Models
Frameworks: TensorFlow and PyTorch Basics

Ethics and Bias in Data Science

Ethical Considerations in Data Handling
Privacy Concerns and GDPR Compliance
Identifying and Addressing Bias in Data and Models
Building Explainable Models

Data Science Tools and Frameworks

Jupyter Notebooks for Prototyping
Working with Google Colab
Using Docker for Data Science Projects
Cloud Platforms for Data Science: AWS, Azure, Google Cloud
Version Control with Git and GitHub

Capstone Projects

Predictive Modeling with Real-world Data
Customer Segmentation for E-commerce
Sentiment Analysis on Social Media Data
Time Series Forecasting for Stock Prices
Building a Recommendation System

Python Tutorial

Python Data Type

Python Tutorial

Python Data Type

Python Tutorial

Python Data Type

Python Tutorial

Python Data Type

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