| --- |
| title: README |
| emoji: 📈 |
| colorFrom: blue |
| colorTo: gray |
| sdk: static |
| pinned: false |
| --- |
| |
| # Welcome to DATAIDEA! |
|
|
|
|
| <!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! --> |
|
|
| Hello there 🤗 and welcome to our new resourses site. We have |
| re-develped our website to use jupyter notebooks, which is the tool we |
| mostly use for teaching. This is so that you can access updated learning |
| materials faster. |
|
|
|  |
|
|
| ## Programming For Data Science |
|
|
| Programming for Data Science is a subject we’ve designed to explore the |
| various programming components of data science. To take on this course |
| means that you’ll learn programming techniques to do Data Science stuff |
| like data manipulation, analysis, visualization, machine learning. |
|
|
| This subject has been split into specific courses as below. The duration |
| is the average of what our older students have taken, but can be longer |
| or shorter for different types of students: |
|
|
| - Fundamentals of Programming (Python or JavaScript or both)(1 month) |
| - Data Analysis with Python and Introduction to Machine Learning (2-3 |
| months) |
| - Deep Learning Specialization (3-5 months) |
| - Database Management with SQL and Python (optional) (1 month) |
| - Web Development with Django (optional) (2-6 months) |
|
|
| This subject can be taken as a whole or you can take specific parts of |
| strong interest or application to you and your field. But if you’re a |
| complete beginner, we advise you take the whole subject. |
|
|
| Here is how our subject is offered: |
|
|
| - Duration: (Depends on the course units you have chosen) |
| - Sessions: Four times a week (one on one) |
| - Timing: Evenings or/and weekends |
| - Location: Online or/and at UMF House, Sir Apollo Kagwa Road |
|
|
| If you’re serious about learning Programming and getting prepared for |
| Data Science and Web Development roles, I highly encourage you to enroll |
| in our programming courses. |
|
|
| Don’t waste your time following disconnected, outdated tutorials. We can |
| teach you all that you need to kickstart your career. |
|
|
| Contact us at: |
|
|
| - dataideaorg@gmail.com |
| - +256701520768 / +256771754118 |
| - www.dataidea.org |
|
|