Transform Your Future! 🦋
e-Course: Becoming Data Scientist Fast
(Free Limited Edition)
Perfect for beginners, this learning program gets you started on what Data Science and Machine Learning are all about and how quickly you can benefit from them. The unique features offered by this FREE program are:
- 14 Online Learning Modules: 14 modules, divided into 5 weeks with lectures followed by assignments and quizzes, ensuring you learn and implement your learning.
- Learn Whenever You Want: It doesn’t matter if you couldn’t access your lectures or needed some time off. You can forever access this free program irrespective of your geo-location.
- No Credit Card Needed: You don’t need to pay anything for this course. It’s completely free and requires no card authentication by you for access.
I can help you and I am already excited to work with you!
Absolutely FREE
A Message from the Instructor
You want to know more about Saeed? Click here for his [resume & bio] and click here for his [projects & results]
Course Information
Format
Online + Live Q&A
Difficulty
Beginner Level
Duration
5 weeks
Requirments
Basic Algebra
Learning Path
Course Overview
The Learning course spans over 5 weeks and 14 separate modules. Our focus with this course is to provide in-depth starting education on the Data Science industry. Each week will be focused on a particular topic with a specific practical goal.
Metaphorically speaking, in this course, we will take you to a beautiful lake for a joyful snorkeling session. Bring yourself and enjoy your journey as you learn practical lessons about the lake and snorkeling!
Week #1: A Minimalist Data-Science Toolbox
🤿 Grab your snorkeling gear
Week #2: Data-Scientist Mindset
🚁 Take a helicopter tour above and around the lake
Week #3: An End-to-End Data-Science Project
🏊 Dive in to the lake and explore the underwater world
Week #4: Computer Programming: Best Practices
🛍️ Check out the gift-shop on your way out
Week #5: Data-Science in Action: Deployment
📸 Grab an action-camera to live-stream your next adventures
Skills Covered
Python Programming
Statistics
Supervised Learning
Regression
Classification
Random Forest
Cloud Services
Model Evaluation
Code Version Control
Deployment
Coding Best Practices
Relational Data Bases
Tools Covered
What Are They Saying?
Data-Scientist Job Opportunities
Annual AI Market Growth
0
%
source: Grandview Research
New AI Jobs by 2022
0
M
source: Forbes
Average Annual Salary (🇺🇸)
$
0
K
source: glassdoor
Average Annual Salary (🇪🇺)
€
0
K
source: cloudfactory
Top Companies Hiring for AI Jobs
Features
These courses are designed to help beginners, enthusiasts, and non-experts, as well as individuals belonging to a different field who are willing to learn and become an expert in Data Science to start a career as a Data Scientist and avail the benefits offered by this growing market.
Our Mission
The fastest way to become a Data Scientist is right here. With the rising demand for Data Scientists globally, we have taken the initiative of training more Data Scientists. We’re committed to helping close this gap with our courses.
Our Plan
Our end-to-end support gives you hands-on experience on each course and module. By the end of each course, you’ll be able to think like a scientist, ask the right questions, and take the right tools and approaches towards the best solutions.
Our Vision
We believe that anyone can become a Data Scientist. You don’t need prior experience in advanced math or computer programming to take this course. However, the more you know beforehand, the faster you’ll learn. Let’s deliver change in magnitude together.
Our Care
With 24x7 support available, you’ll never feel stranded. We not only help you through the end-to-end process but also try to understand your background, strengths, weaknesses, and objectives to help you achieve your desired goals. We’re always here for you.
Let's Talk One-on-one!
SCHEDULE FREE CALLLooking for a Data Science expert to help you score your first or the next Data Science job? Or, are you a business owner wanting to bring value and scale your business through Data Analysis? Either way, you’re in the right place. Let’s talk about your priorities!