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|Dais For Data Scientist by Vikkyboy02(m): 12:03pm On Jan 11|
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.
|Re: Dais For Data Scientist by Vikkyboy02(m): 12:47pm On Jan 11|
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.
|Re: Dais For Data Scientist by Scholar8200(m): 9:10pm On Jan 11|
I share your ambition. Do you have any ideas about R Programming and other tools?
|Re: Dais For Data Scientist by y4code(m): 4:05pm On Jan 12|
looking for where to learn datd mining forex and statistics in lagos or ijebu ode
|Re: Dais For Data Scientist by Vikkyboy02(m): 11:44am On Jan 13|
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
|Re: Dais For Data Scientist by Vikkyboy02(m): 11:47am On Jan 13|
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
|Re: Dais For Data Scientist by Vikkyboy02(m): 11:48am On Jan 13|
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
|Re: Dais For Data Scientist by Scholar8200(m): 12:46pm On Jan 13|
Vikkyboy02:Have you downloaded the WEKA software?
Meanwhile, I saw this:
I also discovered this: https://bigdatauniversity.com/
It seems this is a very new field and experts are still scarce.
|Re: Dais For Data Scientist by Vikkyboy02(m): 7:40pm On Jan 13|
Scholar8200:Yes i have, and i am taking some courses online too
Scholar8200: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:Weka is a java software developed in the university of new zealand, containing machine learning algorithms and dataset for running simulations and analysing experiment.
|Re: Dais For Data Scientist by Vikkyboy02(m): 8:09pm On Jan 13|
Here is a sample of certificate of completion of Big Data University
|Re: Dais For Data Scientist by COdeGenesis: 10:47pm On Jan 13|
Vikkyboy02: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
|Re: Dais For Data Scientist by Vikkyboy02(m): 10:51pm On Jan 13|
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.
|Re: Dais For Data Scientist by Vikkyboy02(m): 12:29am On Jan 14|
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)
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.
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.
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.
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.
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!
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.
*TO CONFIRM YOUR BOOKING, PLEASE SEND YOUR
3 CERTIFICATES OF COMPLETION to firstname.lastname@example.org or via WhatsApp to 08037916948*
Deadline is for 15th of January to send in your certificates/progress score/bar graph and whatsapp number
|Re: Dais For Data Scientist by Vikkyboy02(m): 2:20pm On Jan 14|
Has anyone confirmed his/her booking?
|Re: Dais For Data Scientist by Capitabrain: 5:48am On Jan 15|
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.
|Re: Dais For Data Scientist by Vikkyboy02(m): 9:16pm On Jan 15|
Hope you are able to complete the courses and send it.
|Re: Dais For Data Scientist by Capitabrain: 1:10am On Jan 16|
Am still on it. I will surely finish
|Re: Dais For Data Scientist by Vikkyboy02(m): 9:46am On Jan 16|
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.
|Re: Dais For Data Scientist by Scholar8200(m): 5:40pm On Jan 16|
|Re: Dais For Data Scientist by Vikkyboy02(m): 8:07pm On Jan 16|
|Re: Dais For Data Scientist by Vikkyboy02(m): 1:37pm On Jan 17|
Please any update on the bootcamp
|Re: Dais For Data Scientist by alinnorugo: 5:18am On May 21|
I just completed the data science track with R on www.datacamp.com I would like to meet people that are using this software or want to learn
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