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Data Science And Analytics Boot Camp 2023

Author: softwarekeygencrack on 5-11-2023, 12:21, Views: 14

Data Science And Analytics Boot Camp 2023
Free Download Data Science And Analytics Boot Camp 2023
Published 10/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 7.27 GB | Duration: 15h 31m
Learn Data Science, Data Analysis, Machine Learning (Artificial Intelligence) and Python more!


What you'll learn
Learn how to program in Python using the latest Python 3
Real life case studies and projects to understand how things are done in the real world
Learn NumPy and how it is used in Machine Learning
Become a Data Scientist and get job
Explore large datasets and wrangle data using Pandas
Learn Linear Regression
Learn Logistic Regression in ML
Learn Principal Component Analysis and Clustering
How to improve your Machine Learning Models
Implement Machine Learning algorithms
Learn which Machine Learning model to choose for each type of problem
Requirements
No prior experience is needed (not even Math and Statistics). We start from the very basics.
A computer with internet connection.
Description
Unlock the power of data with our comprehensive "Mastering Data Science and Data Analysis with Python" course. In today's data-driven world, Python is the go-to programming language for extracting insights, making data-driven decisions, and leveraging data's full potential. Whether you're a beginner or a seasoned professional, this course is your ticket to mastering data science and analysis using Python.What You'll Learn:Foundations of Python: We'll start from the basics, ensuring you have a strong foundation in Python programming to manipulate and analyze data efficiently.Data Cleaning and Preprocessing: You'll learn how to wrangle messy data, deal with missing values, and ensure your data is ready for analysis.Exploratory Data Analysis (EDA): Discover powerful techniques to visually and statistically explore datasets, gaining insights and spotting trends that drive decision-making.Data Visualization: Dive into data visualization libraries like Matplotlib and Seaborn, creating stunning and informative plots and charts.Statistics for Data Analysis: Master essential statistical concepts to make sound inferences and decisions based on data.Machine Learning with Python: Explore the world of machine learning, understanding both supervised and unsupervised learning techniques. Build and evaluate predictive models.Real-World Projects: Apply your knowledge to practical projects, solving real data problems and building a portfolio to showcase your skills.Python Libraries: Harness the power of Pandas, NumPy to efficiently analyze and manipulate data.Data Science Ethics: Learn about ethical considerations in data analysis, addressing issues of privacy, bias, and responsible data use.Why Choose this Course?Expert Instruction: Taught by industry experts with years of experience in data science and analysis.Flexibility: Study at your own pace and revisit course materials whenever you need.Certification: Receive a Udemy certificate upon successful completion to boost your resume.Don't miss the opportunity to become a data master, driving data-driven decisions and transforming your career. Enroll now and join the data revolution!
Overview
Section 1: Course Introduction
Lecture 1 Introduction
Section 2: Python Programming & its Library
Lecture 2 Python Basic
Lecture 3 Numpy (Python Library)
Lecture 4 Pandas (Python Library)
Section 3: Machine Learning
Lecture 5 Machine Learning Part 1
Lecture 6 Machine Learning Part 2
Section 4: Data Analysis
Lecture 7 Lecture on Data Analysis
Section 5: Data Visualization and Pre Processing
Lecture 8 Lecture on Data Visualization and Pre Processing
Section 6: Linear Regression
Lecture 9 Lecture on Linear Regression
Section 7: Logistic Regression
Lecture 10 Lecture on Logistic Regression
Section 8: Linear & Logistic Regression on Placement Data
Lecture 11 Linear & Logistic Regression on Placement Data Lecture
Section 9: Clustering
Lecture 12 Clustering Lecture
Section 10: Principal Component Analysis
Lecture 13 Principal Component Analysis Lecture
Section 11: Clustering & PCA Coding
Lecture 14 Clustering & PCA Coding Practice
Section 12: Project and Coding Practice
Lecture 15 Project Introduction and Visualization
Lecture 16 Data Visualization Code
Lecture 17 Logistic Regression and Decision Trees
Lecture 18 Random Forest and Code Practice
Anyone with zero experience who wants to learn Machine Learning, Data Science and Python,Who wants to become Data Scientists, Business Analysts and Business Analysts

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