Data Science and Visualization with Machine-Learning هذه الدورة تدرس باللغة الإنجليزية

تفاصيل الدورة

Data is the new fuel of the 21st century powering several industries. One might even consider it as the new “black gold”. However, data is worthless until its transformation into invaluable insights, and that is data science.

Data Science is the process of mining massive quantities of structured and unstructured data to uncover hidden patterns and derive meaningful insights. It helps businesses easily comprehend large amounts of data and generate actionable insights to make more informed data-driven choices. The significance of Data Science is in its many applications, which vary from simple tasks like asking Siri or Alexa for suggestions to more sophisticated ones like running a self-driving ;It is one of the most rapidly growing fields and sought-after career paths. If you also have a passion for finding solutions buried in data to address business issues, this Data Science course is for you.

This all-inclusive course learning package will guide you through the ABCs of data science. You will equip yourself with numerous essential knowledge, such as — python essentials, data analysis using NumPy and Pandas, data visualisation using matplotlib, Pandas and Seaborn, etc. Additionally, this course will train you in interactive & geographical plotting using Plotly and Cufflinks.

To strengthen your knowledge basket, this course will also give you a comprehensive idea of machine learning. You will familiarise yourself with various machine learning models like Linear Regression Model, Logistic Regression Model, K Nearest Neighbors, etc. Moreover, this data science course will tell you about the theory of Decision Tree and Random Forests. With this interactive data science training, you will clearly understand crucial topics like Support Vector Machines (SVMs), Principal Component Analysis (PCA), K Means Clustering, etc.

Add this Data Science to the basket — Develop the ability to extract valuable insights from gigabytes of data.

COURSE CURRICULUM

• Welcome, Course Introduction & overview, and Environment set-up
• Python Essentials
• Python for Data Analysis using NumPy
• Python for Data Analysis using Pandas
• Python for Data Visualization using matplotlib
• Python for Data Visualization using Seaborn
• Python for Data Visualization using pandas
• Python for interactive & geographical plotting using Plotly and Cufflinks
• Capstone Project - Python for Data Analysis & Visualization
• Python for Machine Learning (ML) - scikit-learn - Linear Regression Model
• Python for Machine Learning - scikit-learn - Logistic Regression Model
• Python for Machine Learning - scikit-learn - K Nearest Neighbors
• Python for Machine Learning - scikit-learn - Decision Tree and Random Forests
• Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs)
• Python for Machine Learning - scikit-learn - K Means Clustering
• Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA)
• Recommender Systems with Python - (Additional Topic)
• Python for Natural Language Processing (NLP) - NLTK - (Additional Topic)
• Resources

Who is this course for?

This Data Science and Visualisation with Machine Learning does not require you to have any prior qualifications or experience. You can just enrol and start ; تحديث بتاريخ 20 October, 2023 - أقل