Found 76 repositories(showing 30)
Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning. This program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets. It is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics. Upon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science.
Final assignment for the course Data Visualization with Python, part of IBM Data Science Professional Certification on Coursera
ahmedramadan96
After finishing data visualization with python course that took place Oct in 2018 at coursera platform by IBM , I decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me
No description available
HasibAlMuzdadid
All my learnings from "Data Visualization with Python" course offered by "IBM" on coursera are reflected here.
jaredbest
Content for the following online course: Data Visualization with Python, IBM, Coursera.
This is a Data Visualization with Python Project (part of Coursera IBM Data Science Professional).
EzraHsieh
The dashboard is designed to provide insights into automobile sales and related statistics, utilizing Dash and Potly, demonstrating data visualization skills. This is the final project for the IBM Data Visualization with Python course on Coursera.
ycchen00
Coursera | Data Visualization with Python(IBM)
The final peer graded assignment for course 8- Data Viz with Python of the IBM Data Analyst Professional Certificate.
No description available
mfarshchin
Data Visualization with Python for IBM Coursera
RohanMathur17
Contains the code & notebooks for the Data Visualization With Python Course by IBM On Coursera
shreyamodi222
No description available
Mrugank0405
peer-graded assignment: final assignment: part 3 - submission and grading ibm data science
GOMEZBORIS6
In this module, you will learn about data visualization and some of the best practices to keep in mind when creating plots and visuals. You will also learn about the history and the architecture of Matplotlib and learn about basic plotting with Matplotlib.
No description available
No description available
AbdallahY0usef
No description available
shajidHossainHemal
Course materials from Coursera - Databases and SQL for Data Science by IBM part of IBM's Data Science Professional Certificate program.
No description available
AbigailYuHaixin
Welcome to Data Visualization with Python! This is part of the IBM Data Science Professional Certificate. All labs are included!
Yatharth-Mahawar
Coursera Data Visualization with Python - IBM
Final project for data visualization with python
No description available
DataMeister05
IBM Coursera Data Visualization with Python course
Data Visualization with Python. Coursera IBM course
jasonyapri
IBM Data Visualization with Python Coursera Course Codes
alibtasdemir
IBM course "Data Visualization with Python" on Coursera
dan-maniac-15
Coursera IBM Skills Network Data Visualization with Python