Master Data Science with SQL and Python

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Desmond Otieno Onam

33:13:01

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1 - Exploring the Data Science Landscape

1 -Introduction.mp4

04:46

2 -Lecture 2.mp4

07:44

3 -Lecture 3.mp4

06:12

4 -Lecture 4.mp4

07:35

5 -Lecture 5.mp4

07:48

6 -Lecture 6.mp4

09:25

7 -Lecture 7.mp4

06:41

8 -Lecture 8.mp4

14:35

2 - Python Introduction

1 -Introduction To Python.pptx

1 -Introduction to python.mp4

01:23:53

2 -Guide to Python Syntax.pptx

2 -Python Syntax.mp4

01:40:15

3 -Data Structures in Python.mp4

01:49:09

3 -Python Data Structures.pptx

4 -Python Operators and Strings.mp4

01:40:23

4 -Python Operators (1).pptx

3 - File Handling and Modules

1 -Control Structures.mp4

01:26:33

1 -Control Structures.pptx

2 -Functions.mp4

49:34

2 -Functions.pptx

3 -File InputOutput.mp4

01:44:42

3 -String and File I O.pptx

4 -Modules and Packages.mp4

01:39:56

4 -Modules and Packages.pptx

4 - Modules and Libraries

1 -File Handling.mp4

01:41:49

1 -PYTHON FILE HANDLING.pptx

2 -MODULES AND LIBRARIES.pptx

2 -Modules and Packages - Numpy.mp4

01:30:11

3 -Modules and Libraries - Pandas.pptx

3 -Modules and Packages - Pandas.mp4

01:40:54

4 -Modules and Packages - SciPy Matplotlib.mp4

01:42:28

4 -Python Scipy and Matplotlib.pptx

5 - Python MySQL

1 -Introduction to Python with MySQL.pptx

1 -Introduction to python with MySQL.mp4

01:30:09

2 -Python with MySQL.pptx

2 -Python with MySQL - Databases and Tables.mp4

01:14:25

3 -Operations in Python with MySQL.pptx

3 -Operations in Python with MySQL 1.mp4

01:43:33

4 -Operations in Python with MySQL 2.mp4

02:01:16

4 -Operations in Python with SQL.pptx

6 - Machine Learning in Python

1 -Introduction to Machine Learning.mp4

01:30:36

1 -Introduction to Machine Learning.pptx

2 -Supervised Machine Learning Part 1.mp4

01:46:28

2 -Supervised Machine Learning(Part 1).pptx

3 -Supervised Machine Learning Part 2 and Unsupervised machine Learning.mp4

01:41:59

3 -Supervised Machine Learning (Part 2) and Unsupervised Machine Learning.pptx

4 -Data Science Capstone Project.mp4

01:50:02

Description

Data Science Course with Python and MySQL

What You'll Learn?

Introduce Python basics and the its use in Data Science
Introduce MySQL and integration with python
Data Analysis and Visualization
Machine Learning from Basics to advanced

Who is this for?

This course is for anyone who is interested in Data Science. Whether you are learning casually or interested to advancing in Data Science, this course is for you.

What You Need to Know?

There are no prior requirement's. This is a complete beginners course.

More details

Description
This course comprehensively introduces data science using Python and MySQL, combining essential data manipulation, analysis, and database management skills. You'll learn Python's powerful data science libraries, including Pandas, NumPy, and Matplotlib, to clean, analyze, and visualize data. Additionally, you'll gain hands-on experience with MySQL, mastering SQL queries, database creation, and data management techniques to store and retrieve data efficiently.
Through real-world projects, you will explore the entire data science pipelineâ€”data collection, storage, analysis, and visualizationâ€”while understanding how Python and MySQL integrate to solve practical problems. By the end of this course, youâ€™ll be able to manipulate and analyze datasets, create insightful visualizations, and work confidently with databases, equipping you with the skills to handle diverse data science challenges in any professional setting. Suitable for beginners and intermediates.
You'll also delve into key statistical concepts and machine learning basics, applying predictive models to extract insights from data. The course emphasizes practical applications, guiding you through structured exercises and real-world datasets to reinforce your understanding. With Python, you'll automate data workflows and create interactive dashboards, while MySQL enables you to efficiently manage and query complex datasets. By the end, youâ€™ll have a robust toolkit for tackling data science tasks, from initial data exploration to delivering data-driven insights and actionable recommendations across various industries.
Who this course is for:
This course is for anyone who is interested in Data Science. Whether you are learning casually or interested to advancing in Data Science, this course is for you.

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Python

Desmond Otieno Onam

Instructor's Courses

Innovative, technically-astute Machine Learning Data Engineer with a stellar career history in application design, predictive modeling, data mining, and machine learning algorithms. Highly experienced in writing, debugging, and understanding large codes and deep learning algorithms, as well as building complex neural networks through various programming languages. Possess an unbridled passion for machine learning with comprehensive knowledge of machine learning concepts and other related technologies. Extensive expertise and high proficiency with structures, semi-structured and unstructured data, using a broad range of data science programming languages and big data tools, including R, Python, Spark, SQL, PowerBI, Scikit Learn, and Hadoop Map Reduce. Adept at using pandas, NumPy, Seaborn, SciPy, matplotlib, sci-kit-learn, and NLTK in Python to develop various machine learning algorithms. Experienced data science professional with a proven track record in training, delivering courses, and mentoring trainees in the fields of data science and analytics, Machine Learning, and Data Engineering.Awarded “Best Machine Learning Data Engineering and Web3 Tutor” at 10 Academy for delivering outstanding data engineering, web3, and machine learning courses to students.Awarded “Best Data Science Internship Instructor” at SNVA Edutech, Careerera for best mentoring, instructing, and guiding interns in Data Science through project creation and simulation of real-world projects.Attained 96% client satisfaction and Best mentor at NextHikes for delivering outstanding Data Science Analytics projects on time, and guiding interns in the department of Data Science as a Lead Data Scientist.Attained 90%+ client satisfaction by developing customized data science training programs for clients across various industries and projects in freelance.Featured in Africa's Voices Foundation as a creative and awarded for better solutions in creating automated analysis that eased the data analytics work.

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