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Data Science Apprenticeship

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Data Science Apprenticeship

Data Science Apprenticeship (DSA) by leading data scientist and entrepreneur Dr. Vincent Granville. Six-month program, with real life projects. No admission exam, state-of-the art curriculum,  comprehensive program delivered entirely online, suitable for self- learners. Training based on our Data Science Wiley Book and our training booklet. Click here for more information, and join this group to receive updates about our apprenticeship (schedule, material to get started, etc.)

Applicants successfully completing our DSA can earn our Data Science Certification.

Members: 1574
Latest Activity: on Friday

Discussion Forum

Our Data Science Apprenticeship is Now Live

Started by Vincent Granville. Last reply by RAVINDER PAL VASHIST May 12. 28 Replies

Updated on 12/22/1014: Click here for…Continue

Null Hypothesis HELP

Started by Sasmita Samantaray. Last reply by Ron Segal May 2. 1 Reply

Hi,I have few doubts regarding null hypothesis. Can anyone help me to find the answer?Q. Your risk analysis team has access to new customer financial data. You want to use this data to improve your…Continue

Update about the Data Science Apprenticeship

Started by Vincent Granville. Last reply by Harshad Borkar Dec 26, 2014. 1 Reply

This update was posted on December 22, 2014. Due to the large demand, we have simplified our …Continue

Addendum to my data science book (updated)

Started by Vincent Granville. Last reply by Umut Yildiz Nov 5, 2014. 3 Replies

The following document contains additional topics part of our Data Science Apprenticeship, but not covered in our…Continue

Comment Wall

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Comment by Renato Azevedo Sant Anna on May 7, 2015 at 7:13pm

Hi all, 

I've been studying Data Science in EDX.org and Coursera in the last few months. I'm also ready to start studying the DSA here.

Best regards, 

Renato Azevedo Sant Anna

renatosantanna@gmail.com

Comment by Ej Cruz on April 19, 2015 at 10:45pm

Hi Dr. Granville & fellow DSA mates,

I'm ready to get started! 

Let's study DSA mates. Twitter @isynergize or message me for my email.

My Best,

~Ej Cruz

Comment by Vinsent Paramanantham on March 18, 2015 at 7:52pm

Please see the comments from Livan Alonso

Comment by Karthik on March 18, 2015 at 7:48pm

Hi Mr.Vincent,

I just  joined the group.

1. When program starts?

2. Where do i can found Materials?

Comment by abhinav Ranjan Singh on July 20, 2014 at 5:05am

hi guys, 

I want to join the study groups anyone from india here or else add me up in the study group.

my email: abbylester@gmail.com

Comment by Livan Alonso on June 25, 2014 at 1:55pm

Hi Sovello,

To complete the program you need go through the following steps:

How to get started? The program in 7 steps: http://bit.ly/1yOPRHJ

Here you can find the materials from step 3:

Select your data science project from the list (step 4) http://bit.ly/1yOQ4L4. Complete one of these real-life projects and email your solution.

 

Please feel free to contact me if you have further questions. 

Best regards,

Livan

Comment by Sovello Hildebrand on June 25, 2014 at 11:11am

Hi Vincent,

I have joined the group, but one challenge still, is there a place like a special page where the data science apprenticeship material is organized all in one place? I have been clicking all around without success.

Hi @Michael Okneski!

Would you recommend the JHU MOOC on Coursera to someone?

Cheers

Comment by Vincent Granville on April 23, 2014 at 7:39am

Read Our Data Science Apprenticeship is Now Live for details on how to get started. I added this announcement yesterday evevening.

Thank you,

Vincent

Comment by Md. Abdullah Al Qayum on April 22, 2014 at 7:47am

i want to participate in This course . but from where I should start . can any one give me some suggestions

Comment by Michael Okneski on April 16, 2014 at 10:11am

I purchased the Wiley book recently and am intrigued by the apprenticeship.  I'm taking the Data Science program courses offered by Johns Hopkins on Coursera and I believe that the apprenticeship available here will enhance that experience.

 

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