Data Science And Analytics Boot Camp 2023

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