Transform Your Future! ✨

e-Course: Becoming Data Scientist Fast
(Premium Full-Edition + More)

This paid Training program is enough to make you proficient and ultimately an expert in Data Science. With thorough individual training, we will turn your weaknesses into strengths.

  • 1-to-1 Introduction Call: Getting started has been made easier for you with a 1-to-1 introduction call. This 30-minute introduction call will allow us to bond while you receive an overview of what you can expect from this course.
  • 14 Online Learning Modules: 14 modules, divided into 5 weeks with lectures followed by assignments and quizzes, ensuring you learn and implement your learning.
  • Hands-on Learning Experience: Jot down active lecturer notes with real-world examples. Get regular hand-graded assignments, weekly quizzes, and customized feedback on your work.
  • 1hour Q&A Session: After every week, you will have a live Q&A session of one hour where you can ask questions related to your quizzes, assignments, and topics.
  • Live Interactions: Including an interactive online platform, weekly live office hours, and 24x7 support whenever you need assistance.
  • Career Service: Offered by our top experts, you will be on the right path to becoming an efficient and expert Data Scientist.
  • Money-back Guarantee: If you feel, at any point, that you aren’t satisfied with this course, you can always ask for your money back, with no questions asked.

Enroll now! I’m excited to teach you and make you a Data Science expert.

Saeed Mirshekari, PhD

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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]

What Are They Saying?

Monica K.

Former Student, 100% Completed

It does seem crazy to me! A few weeks ago, I possessed little knowledge of Machine Learning and now after this week, I am able to deploy a model. I would never have even created a GitHub account for a few months thinking I don't have enough knowledge but this course made me do so. There's still a lot to learn but this course has made me do things which I otherwise would have been too scared to do. I'm grateful for that.

I consider myself lucky to have come across this course. It has provided a complete framework to become a data scientist. A few weeks ago, I was sort of intimidated by all the tools and technologies I needed to learn and I was not sure which one to learn first and where exactly it will be required. But this course has put everything into perspective and I’m not afraid anymore. I’ll be indebted to you for giving me this opportunity and I sincerely thank you for being so approachable and kind to clarify all the doubts I had.

Ahsan S.

Former Student, 100% Completed

I found this course as a great introduction to data science. Coming into it I had little to no experience regarding data science and machine learning models etc. I am a CS student so I was aware of what these things were but what was so great about this course was that it forced me to actually get things done and it gave us a complete view and understanding of how a data scientist works.

It is by no means a deep dive into each and everything a data scientist does but it gives us a complete end to end picture of things we will be working on and how we will do it. Plus its a course which encourages self-study and leave a lot up to the students to learn and implement which I think is a great way to promote self-learning as there is absolutely no way each and everything can be spoon fed to students.

Alberto T.

Former Student, 100% Completed

This course helped me putting all the pieces together and gave me a clear picture of the DS dynamics. Before taking this course, I was studying some parts by myself but they felt somehow disconnected. Thanks to course I am now able to put all the pieces together in a coherent picture.

This overview of tools, methods and steps is very useful for me! I encountered various names of tools and methods in the past and I got somehow confused and a bit "intimidated" because I did not have the big picture. Very useful. Thanks Saeed!

Monica K.

Former Student, 100% Completed

I was looking for a career outside Academia, and Data Science interested me. When I started reading about it online, I was bombarded with too much information about tools and technologies in Data Science and I felt overwhelmed with all that. I came across this course just at the right time and it delivered what it promised, a complete overview of the entire life cycle of Data Science. My confusion and fear were sorted out by this course and I now have that sketch in my mind which I need to refine.

Another reason to participate in this course was to explore the field of Machine Learning quickly because although I made a decision to switch to Data Science, I was not sure whether I would actually like it or not. Again, with the hands-on experience I achieved in past few weeks, I enjoyed what I was doing and I am assured of the fact that I would not regret my decision. Thank you for giving me the confidence I needed to continue.

Samaneh T.

Former Student, 100% Completed

I strongly recommend this online course. It gave me an absolutely amazing overview on the entire process. Before taking the course, my idea about the data science was limited to knowing how to code. This course gave me a bigger picture and the knowledge about the whole process.

I really enjoyed it. I knew some coding but even with that, but it totally worth it.

Course Information

Format

Online + Live Q&A

Difficulty

Beginner Level

Duration

5 weeks

Requirments

Basic Algebra

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.

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.

The materials offered to you will come in three types:

  • Recorded lectures
  • Assignments
  • Quizzes

After every week, a live 1-hour Q&A session will be held by the instructor where you can ask questions from the teacher and interact with the class. On successfully completing the course, you will receive a completion certificate.

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

Data-Scientist Job Opportunities

Annual AI Market Growth

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source: Grandview Research

New AI Jobs by 2022

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source: Forbes

Average Annual Salary (🇺🇸)

$

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source: glassdoor

Average Annual Salary (🇪🇺)

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source: cloudfactory

Top Companies Hiring for AI Jobs

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