I will be posting this here too: It was posted from a Group I am into.

Hello fellow Analysts... Is anyone interested in free online tutorials on econometrics, research and data analysis? Follow Ngozi Adeleye on http://cruncheconometrix.com.ng. I teach the rudiments of these topics to starters...hit the BLOGPOST and let's take it from there... and if you want to send in a contributory post let me know... Thanks.


The host, would really love as many who are willing to come on board. Having 95% proficiency in the use of Stata and about 65% on EViews and SAS packages, (Trial versions can be downloaded from the internet for learning). The Host would be teaching how to use Stata on her blog.

... So guys, let's take the challenge: learn how to use an analytical software.

The host's Linkedin profile: https://www.linkedin.com/in/ngozi-adeleye-808b378a/

A lot of activities had taken place in the bootcamp and more still to come, with a lot of interesting and interactive sessions with great minds across globe sharing their knowledge and ideas with the campers.

Currently, Bootcamp hachathon number 1 now has 100 entries so far : https://www.kaggle.com/c/datasciencebootcamp/leaderboard

Great work by the boot-campers.

badruu:
pls bosses in the house i have registered for the Data Science 101 couse on cognitive class.ai,,, but i don't have a good internet connection, anyone that have the video materials or any material at all shol plkease send to lanre923@gmal.com



plseeeeeeaase.......i am love with this course,,i am an undergraduate.



cc: Vickkyboy02
Captainbrain
Others

My apologies, I current don't have those resources again.

designVATExcel:
I can relate, when I watched this video wanted switching careers. I love Data..


https://www.youtube.com/watch?v=i2jwZcWicSY

Switching is nice..........Integrating it with prior knowledge is da best.

The pdf file failed to attach, so i took a screen shot

FINALIST
Attached is the finalists from the Kaggle competition for the 2nd Bootcamp Edition by DSN.

Congratulations to our final 106 candidates joining the bootcamp via Kaggle.
We are taking all of them plus few more from our partners/sponsors/volunteers.
There is no need to extend with this update. We shall run same competition again on Thursday or Friday at the bootcamp after a review by Dr Sulaimon Afolabi and even many more Kaggle at the bootcamp...congrats and see you at the camp!

ALSO:
CONGRATS AND GETTING READY FOR THE BOOTCAMP

All campers must patiently read through this and respond to all actions before end of tomorrow, Saturday 07/10/2017. Please share this or the PDF version with other 109 qualified participants outside this room (3 more people made a late submission and were accepted).

Date and Venue
12-15 October, 2017, Peninsula Resort, Km 25 Lekki-Epe ExpressWay

What you must do now
· You now need to confirm your identity as many participants used pseudo-names on Kaggle leaderboard. You need to send an email to the Event Volunteer Registrar, Mr Abraham Durosawo at Abrahamd@capax360.com and must copy Kayode on info@datasciencenigeria.org
· Your email will mention your Kaggle ID as indicated on the attached leaderboard. The title of your email must be “I qualify for bootcamp”.
· Your email will include full name, gender and if there is/are individuals you want to be paired with in your room (there are very large rooms that can conveniently accommodate 3 people). All paired rooms are FREE. However, if you do not want to share with another camper, you can decide to pay for your room.
· We also make special provisions for senior fellows at the bootcamp (PhD level lecturers only)
· There is an event T-shirt and do indicate your size (Medium, Large, ExtraLarge and Extra Extra Large)
· Therefore, your email response format will be as follows:
Kaggle ID/Full name/Gender/ Pairing with XYX/Want private room or I am good with a paired room/T-shirt size/ PhD lecturer or not
· All emails must be received on or before Saturday 7 October 12 midnight.
· The bootcamp starts 4pm on Thursday 12th October, 2017 at the Peninsula Resort, Km 25, Lagos 47; Lekki-Epe Express way, Beside Budo Specialist Hospital.
· Check-in is immediate and class starts 5pm on the dot.
· In case you will not be able to attend, please send an email to the volunteer registrar, so we can replace immediately.

· Day 1 at the bootcamp is compulsory for an updated Kaggle competition and a big picture session with Mr Wale Akinfaderin!
o Our first task at the bootcamp is to discuss the same Students Performance data. Raphael Jemitan PhD and Dr Sulaimon Afolabi (South Africa) shall discuss some fundamental principles and we shall run a 10-hour hachathon from 8pm of Thursday to 6am on Friday. The first 3 on this bootcamp leaderboard will win the books sent to us by Dr Ponmile Oloyede (Vice President Core Modelling, JPMorgan Chase & Co., USA).

o Wale Akinfaderin will also dial in later in the day from the US to share his thoughts on the Kaggle competition and expand our horizon on possibilities in Data Science with his discourse on Data Science for Development. DON’T MISS THURSDAY OPENING SESSION…..it will set the tone for the entire bootcamp!

o There will be a welcome yellow carpet and interview corner at the bootcamp. We shall run video-recorded interviews which will ask interested participants about their qualification journey, particularly their experience with DataCamp and Kaggle. DataCamp is particularly interested in this video for future support to access their contents FREE OF CHARGE. The interviewers will also ask about your expectation and all the razzmatazz. You can also take picture behind the branded backdrop and use our #datasciencenigeria to popularise the bootcamp on all social media as it happens real-time. Always tag Data Science Nigeria – Twitter (DataScienceNIG ) and Instagram (DataSciencenigeria) as you post.

o We strongly suggest that each participant comes with a personal internet access point or have an active data bundle on phone that can be tethered. We are making effort to provide common internet but this is not guaranteed. You will need the internet to upload your Kaggle submissions and do some Microsoft Azure works.

o You must open a Microsoft Azure account. It’s a cloud-based machine learning that we shall be using at the bootcamp. It is FREE for a month at https://azure.microsoft.com/en-us/free/

o The Oct 12-15 bootcamp is expecting 4 offshore data scientists/datapreneurs flying in (2 from US and 2 from South Africa), 4 shall be dialling in from USA/UAE/ Canada with many local mentors on-ground while many industry experts will visit at different times to discuss practical and business side of data science

Representatives of our partners, sponsors, supporters and DSN internal volunteers shall be given rights of participation at the bootcamp, irrespective of their Kaggle submission


The phone number of our volunteer registrar is 08061688723 and Kayode’s contact remains 08037916948. Please note that they are professionals who are attending the bootcamp like yourself and are only volunteering for the good of all. Let’s accord them their respect/honour with minimal calls.

I am been off for a while now.............My sincere apologies.

The DSN 2nd Bootcamp is now in the "Kaggle competition phase", with competitors really put up a great deal of efforts

The current kaggle competition leadership scoreboard is attached.

There have been a lot of sponsors coming in and follows from prominent personalities in the corporate for the current bootcamp.

Gift and Books have been coming in for competitors too.

There are more news...........I will now find some time to share more news as they come in.

Capitabrain:
Completed

Congratulations. I hope you made it through the selection process.

This is official flyer for the event

2nd Data Science Bootcamp – Face to face machine learning expert classes

One of the distinct features of this 2nd edition is a strong focus on machine learning algorithms and the fundamental principles behind them from theory and real world practice. When do you use Naïve Bayes, Random Forest, SVM, SVD, PCA, Logistics regression etc.

We understand that this knowledge conversation requires a face to face, hands-on teaching and not a dial-in calling, hence a plan to have a dedicated expert on-ground throughout the 4 days.
I am very excited to introduce a world-class Data scientist, consultant and a Research fellow at the University of Witwatersrand, South Africa. If you use Kaggle, please check for the first Nigerian name on the Titanic project leaderboard, where he stands on position No 16 out of the 7,030 global data scientist teams who have competed on it. I am 6 points behind him on the same leaderboard at position 21. https://www.kaggle.com/c/titanic/leaderboard

Dr Sulaimon Afolabi has extensively applied machine learning in solving health, population, business and social issues and he shall be flying to the country as the Programme on-ground expert for the 4 days, focussing on theories of machine learning algorithms plus statistical underpinning that a data scientists must know in applying any algorithm.

I think it is worth it to score 100% in all the 3 pre-class courses with proven understanding of the fundamentals which must later be used to push hard to the final qualification Kaggle competition as the best way to secure one of the 100+ bootcamp seats.
See you at the top and have a great week.

Please how do i get to this place, I stay at Abule-Egba.

42, Balarabe Musa Crescent,
Off Samuel Manuwa Street
Victoria Island, Lagos, Nigeria.

Thanks a lot.

I need a placement for internship in a firm that does Data analysis. I am a graduate of Computer Science. Thanks

Please any update on the bootcamp

Scholar8200:
Congratulations.

thanks bro

Capitabrain:


Am still on it. I will surely finish

Try to complete it in time Bro.........navigate to the "lab" section of every module........it u easily gt the answers to the review of each module.........that should speed up ur progress.

Capitabrain:
This is a career path i also want to thread. I am still on my course on big data university though. Am following this topic closely.

Hope you are able to complete the courses and send it.

Has anyone confirmed his/her booking?

Having sent a message signifying my interest for the boot camp, i received this mail.

UPDATED DATA SCIENCE NIGERIA BOOTCAMP Q1 2017

Venue: Lekki Peninsula Resort. Km 25, Lagos/Epe Express way, Ajah, Lagos State

Date: 20-22nd January, 2017 (Arrival from 3pm on Friday)



Bootcamp format

1) 4-8 hours face-to-face courses – beginners and intermediate classes will run simultaneously ( Python, R and Data Science concepts)

2) Virtual Skype-class on Career Planning in Data Science – how to become a Data scientist and application in real world ( 3 Nigerian Data scientists in the UK, USA and Dubai will share step by step developmental roadmap)

3) Review of a testimonial – How to become a Data Scientist in 6 months (support and resources – Kaggle, MeetUps, Investors, Solutions meet etc.)

4) 10 hour of Self-paced learning using Coursera/Udacity/EdX/DataCamp courses to cover set developmental milestone that has been previously set by each participant

a. All confirmed attendees will fill their developmental milestone form as part of pre-readiness guide for the bootcamp

5) 2-4 hours of group engagement /relaxation/informal sessions/meet and greet etc

6) Feeding/Basic Accommodation (2 people to a room), Internet access for self-paced learning are FREE (Campers are however advised to come with their own internet dongle for self-paced learning sessions)



ATTENDANCE SELECTION CRITERIA

11-12 HOURS OF PRESTUDY OF 3 COURSES FROM THE IBM’S BIGDATAUNIVERSITY.COM

All participants must have completed 11 or 12 hours of rigorous online learning between 27th Dec and 15th January to qualify for selection. All courses are available as self-paced learning on https://bigdatauniversity.com/

On completion of the 3 courses, participants must submit their scores with screen shots of Course Progress, Badge Information and Completion Certificate. This is the only way to guarantee a placement at the bootcamp. It is purely FIRST-COME, FIRST SERVED.





2 COMPULSORY COURSES

1) DATA SCIENCE 101 (3 HOURS)

a. The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field for the work they do, this field is data science. In this course, we will meet some data science practitioners and we will get an overview of what data science is today.

b. https://bigdatauniversity.com/courses/data-science-101/



2) MACHINE LEARNING WITH PYTHON (4 HOURS)

a. Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends. This free Machine Learning with Python course will give you all the tools you need to get started with supervised and unsupervised learning.

b. https://bigdatauniversity.com/courses/machine-learning-with-python/



1 ELECTIVE COURSE (Pick 1 from any of these)

3) R 101 ( 5 HOURS)

a. R is a powerful language for data analysis, data visualization, machine learning, statistics. Originally developed for statistical programming, it is now one of the most popular languages in data science. In this course, you'll be learning about the basics of R, and you'll end with the confidence to start writing your own R scripts. But this isn't your typical textbook introduction to R. You're not just learning about R fundamentals, you'll be using R to solve problems related to movies data. Using a concrete example makes the learning painless. You will learn about the fundamentals of R syntax, including assigning variables and doing simple operations with one of R's most important data structures -- vectors! From vectors, you'll then learn about lists, matrix, arrays and data frames. Then you'll jump into conditional statements, functions, classes and debugging. Once you've covered the basics - you'll learn about reading and writing data in R, whether it's a table format (CSV, Excel) or a text file (.txt). Finally, you'll end with some important functions for character strings and dates in R.

b. https://bigdatauniversity.com/courses/r-101/



4) DATA SCIENCE METHODOLOGY (5 HOURS)

a. Learn the major steps involved in tackling a data science problem.

b. Learn the major steps involved in practicing data science, with interesting real-world examples at each step: from forming a concrete business or research problem, to collecting and analyzing data, to building a model, and understanding the feedback after model deployment.

c. https://bigdatauniversity.com/courses/data-science-methodology-2/



5) DATA SCIENCE HANDS-ON WITH OPEN SOURCE TOOLS (5 HOURS)

· In data science, the opportunity to practice may seem overwhelming initially in terms of the access and configuration of tools. Here is where Data Scientist Workbench, a free cloud-based offering, comes into play. Use this tool to build out your skills!

· https://bigdatauniversity.com/courses/data-science-hands-open-source-tools/





6) NOSQL AND DBAAS 101 (5 HOURS)

· With the advent of Big Data and agile development methodologies, NoSQL databases have gained a lot of relevance. Their main advantage is the ability to handle effectively scalability and flexibility issues for modern applications.

· Use the Cloudant NoSQL database as an example to learn how to create and replicate databases, load and query data, and other operations.

· https://bigdatauniversity.com/courses/introduction-nosql-dbaas/





*TO CONFIRM YOUR BOOKING, PLEASE SEND YOUR

3 CERTIFICATES OF COMPLETION to kayode_ledipo@yahoo.com or via WhatsApp to 08037916948*

Deadline is for 15th of January to send in your certificates/progress score/bar graph and whatsapp number


Regards,
Kayode

COdeGenesis:

Work as a data ANALYST in a very good company, we basically use Excel and access for analysis. Would love to learn more and improve myself. How do I do D online course

Log on to bigdatauniversity.com/

Create an account, after which u should locate the "learning path" on the dashboard, which will eventually show details of courses you will study to completion, obtain your certificates and much more earn badges.

Here is a sample of certificate of completion of Big Data University

Scholar8200:
Have you downloaded the WEKA software?

Yes i have, and i am taking some courses online too

Scholar8200:
Meanwhile, I saw this:
http://www.marketingedge.com.ng/2017/01/10/mtns-adekanbi-set-to-make-nigeria-a-data-science-hub/[\quote] This is really impressive, thanks for sharing


[quote author=Scholar8200 post=52771585] I also discovered this: https://bigdatauniversity.com/

Bigdata university is an online university where you can enroll into a class and get certified. I earn Data Science for Business (Level 2) Badge/

Scholar8200:
http://www.cs.waikato.ac.nz/ml/weka/
It seems this is a very new field and experts are still scarce.

cc:y4code

Weka is a java software developed in the university of new zealand, containing machine learning algorithms and dataset for running simulations and analysing experiment.

v.e.adeyemo@gmail.com

WEKA - Waikato Environment for Knowledge Analysis is a popular suite of machine learning software written in Java, developed at the University of Waikato, New Zealand. It is free software licensed under the GNU General Public License

y4code:
looking for where to learn datd mining forex and statistics in lagos or ijebu ode

I actually don't know a place in Lagos where you can learn those things, most times i learn through reading online, downloading relevant document

Scholar8200:
I share your ambition. Do you have any ideas about R Programming and other tools?

I learnt about it, I did searched for online course on it. But it wasn't indepth, I will have to pay for premium service. However, i learnt of WEKA tool

[center]PREDICTIVE ANALYTICS[/center]
Predictive analytics is the branch of data mining concerned with the prediction of future probabilities and trends. The central element of predictive analytics is the predictor, a variable that can be measured for an individual or other entity to predict future behavior.

I want to be a Data Scientist! I am learning to be a Data Scientist!! I am a Data Scientist!!!

All I can think of is Big data and the information lying therein, extracting such high value information is my interest and it is what I am pursuing. I crave a platform where idea, learning and cognate experience can be shared and where a team can be established thus I decide to create this topic for contributions, learning and working.

All form of contributions is welcomed.

Justnora:


Was it by luck you graduated from university?.

lolzzzz......finishing!!!

I receive a SMS inviting me for a job chat @BAS NIG LTD tomorrow. please I need information about d firm

Thank u sisichels