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    Data Science And Analytics Boot Camp 2023

    Posted By: ELK1nG
    Data Science And Analytics Boot Camp 2023

    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