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Monday 10 February 2020

Finally! A complete guide on how to get a job in football!

When most of us think of jobs within the football (soccer) industry, the list is usually exhausted after the players, officials and coaching team. But behind the scenes are the inner-workings of one of the fastest-growing industries in the world comprising a vast array of careers that keep the beautiful game ticking.
If you are interested in getting management or operational roles within the football industry, you have a difficult job ahead. Football management careers can indeed pay very well, however, getting your career started and becoming successful can turn out to be more difficult than you think.
Saam Momen is the creator of this course and has worked at reputable sport marketing agencies and at the heart of the European football (UEFA) and knows what it really takes to succeed in the industry. He has condensed years of knowledge together with some extensive study, research and conversation with other experts and turned it into an all-inclusive, informative guide.
With women and girls becoming more interested and involved in all aspects of football, employment opportunities are increasingly available for them in what has been a male dominant environment. This online course is targeted at both genders and the opportunities described within are available for males and females. However, there is a specific module where additional opportunities for women and girls can be found.
This course intends to break down all of the difficulties mentioned previously into practical steps you can take immediately and start to focus your career into the right direction. This is a rare opportunity to get your football management career started (or back on track), connect and access the best opportunities in the football industry, and get insights amongst other things of industry-recognised institutions providing educational degrees in football and sports management.
Here are the key areas this course will be covering:
Networking is one of the essential tools for growth in any career and football is no exception. However, the rules are slightly different when it comes to football management. During the course you will learn how to locate the right networking environments within the football industry and how to seize the opportunities when you are faced with them.
Job fair
With Saam’s experience and extensive connection within the sports industry, he will introduce you to what is considered arguably the best football and sports job fair in Europe. This is a unique occasion to be face to face with the recruitment departments of the best football entities in the world, an opportunity not to be missed.
A comparison of interviews for ‘normal’ jobs and those for jobs in the football industry will be found in this course. A look at the interview formats involved, the skill set that you should display, the questions you may be asked and the questions that you can be asking your prospective employer will also be provided.
Women in football
Women and girls have long faced bias and discrimination that has seen a low representation at the top of the sport. These days, however, women are finding increasing opportunities to succeed in the football industry. We will discuss here the events, organisations and courses which help to increase the diversity and impact of women in football around the world.
Career Websites for Football Management Professionals
Saam will be sharing with you some of the best career websites which in some cases host head-hunters focused on the football industry. Here you will also find a guide with over 500 job websites for men's and women's football in Europe.
If you want to pursue an undergraduate degree in sports/football management and you don’t know which colleges/universities to apply to, information will be shared about some of the best universities offering undergraduate courses in this area. You can be sure that these are reputable institutions often preferred by sports recruiters.
Masters degrees
This is the hardest and at the same time easiest way to secure the job you are looking for in the football industry… and you will find out why in this course!
Literature/podcasts
Continuous education is an important way to stay up to date with career trends in football and sports. Saam will delve into some interesting findings on how you can learn more about the industry from books and podcasts that he will recommend.
Football Seminars
Football Seminars are ideal for networking opportunities. Insights on the best seminars available will be given.
Volunteering
From Saam’s personal experience, this is the best way to start your football management career. He will be sharing recommendations about why, how and where to engage as a volunteer.
One approach to entering into the football industry is to create your own enterprise or startup. Creating a startup can be an effective alternative for some recent graduates or even those who are changing career paths to gain access to the sports industry using their current skills. Insights to the best ways on doing so are given.
Want to learn more in-depth knowledge and how to super charge your sports analytics and technology knowledge? This course will delve into two courses provided by the best universities in the world, Harvard and MIT.
Freelancing
Yes, you can be a freelancer as a sports/football management professional. This course will show you how you can be free to work from anywhere you wish and take up multiple jobs at the same time.

Words from the Author, Saam Momen:
I have a true passion for teaching! I have proudly taught university courses in Switzerland, USA and Brazil. My career spans over 15 years in the sporting industry with jobs at the London Olympic Bid Committee, UEFA, CSM and TEAM Marketing. I possess a Master Degree in Sports Management and an Executive Education diploma at Harvard Business School on The Business of Entertainment, Media and Sports. I hope that throughout this course you are able to have a wonderful learning experience and that ultimately this motivates you to follow your dream path!
Enrol now 100% risk-free since you receive 30 days, unconditional money back guarantee. If for any reason you are not satisfied, no problem, you are one click away from a refund. No hassle, no hard feelings!
Please go ahead and click the “Buy Now” button right now and let’s increase your chances of having a successful career in football!
  • Sport management students
  • Football executives
  • People thinking in changing careers into the football world
  • People wanting to learn about the football industry
  • Football fans.


52% OFF !!! #discount #udemy #course FOR Finding work in #European #football (soccer)
Finally! A complete guide on how to get your football (soccer) executive career on hi-speed
FREE #soccer #deal #couponcode
https://www.udemy.com/course/finding-work-in-european-football/?couponCode=DA4181203B9CEC2919B7

Friday 7 February 2020

Your Complete Guide to Statistical Data Analysis and Visualization For Practical Applications in R

APPLIED STATISTICAL MODELING FOR DATA ANALYSIS IN R
COMPLETE GUIDE TO STATISTICAL DATA ANALYSIS & VISUALIZATION FOR PRACTICAL APPLICATIONS IN R
Hello, My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation).

I have several years of experience in analyzing real life data from different sources using statistical modeling and producing publications for international peer reviewed journals. If you find statistics books & manuals too vague, expensive & not practical, then you’re going to love this course!
I created this course to take you by hand and teach you all the concepts, and take your statistical modeling from basic to an advanced level for practical data analysis.
With this course, I want to help you save time and learn what the arcane statistical concepts have to do with the actual analysis of data and the interpretation of the bespoke results. Frankly, this is the only one course you need to complete  in order to get a head start in practical statistical modeling for data analysis using R. 

My course has 9.5 hours of lectures and provides a robust foundation to carry out PRACTICAL, real-life statistical data analysis tasks in R, one of the most popular and FREE data analysis frameworks.

This course is your sure-fire way of acquiring the knowledge and statistical data analysis skills that I acquired from the rigorous training I received at 2 of the best universities in the world, perusal of numerous books and publishing statistically rich papers in renowned international journal like PLOS One.
To be more specific, here’s what the course will do for you:

  (a) It will take you (even if you have no prior statistical modelling/analysis background) from a basic level to performing some of the most common advanced statistical data analysis tasks in R.

  (b) It will equip you to use R for performing the different statistical data analysis and visualization tasks for data modelling.

  (c) It will Introduce some of the most important statistical concepts to you in a practical manner such that you can apply these concepts for practical data analysis and interpretation.

  (d) You will learn some of the most important statistical modelling concepts from probability distributions to hypothesis testing to regression modelling and multivariate analysis.

  (e) You will also be able to decide which statistical modelling techniques are best suited to answer your research questions and applicable to your data and interpret the results.

The course will mostly focus on helping you implement different statistical analysis techniques on your data and interpret the results.

After each video you will learn a new concept or technique which you may apply to your own projects immediately!

TAKE ACTION NOW :) You’ll also have my continuous support when you take this course just to make sure you’re successful with it.  If my GUARANTEE is not enough for you, you can ask for a refund within 30 days of your purchase in case you’re not completely satisfied with the course.
  • People working in any numerate field which requires data analysis
  • Students of Environmental Science, Ecology, Biology,Conservation and Other Natural Sciences
  • People with some prior knowledge of the R interface- (a) installing packages (b) reading in csv files
  • People carrying out observational or experimental studies.

#Applied #Statistical Modeling for #Data #Analysis in R !!! 85% off!! #umedy #course #couponcode
https://www.udemy.com/applied-statistical-modeling-for-data-analysis-in-r/?couponCode=STATSINTRO_30

Satellite Remote Sensing Data Bootcamp With Opensource Tools

Are you currently enrolled in either of my Core or Intermediate Spatial Data Analysis Courses?
Or perhaps you have prior experience in GIS or tools like R and QGIS?
You don't want to spend 100s and 1000s of dollars on buying commercial software for imagery analysis?
The next step for you is to gain profIciency in satellite remote sensing data analysis.
My course provides a foundation to carry out PRACTICAL, real-life remote sensing analysis tasks in popular and FREE software frameworks with REAL spatial data. By taking this course, you are taking an important step forward in your GIS journey to become an expert in geospatial analysis.
Why Should You Take My Course?
I am an Oxford University MPhil (Geography and Environment) graduate. I also completed a PhD at Cambridge University (Tropical Ecology and Conservation).
In this course, actual satellite remote sensing data such as Landsat from USGS and radar data from JAXA  will be used to give a practical hands-on experience of working with remote sensing and understanding what kind of questions remote  sensing can help us answer.
This course will ensure you learn & put remote sensing data analysis into practice today and increase your proficiency in geospatial analysis.
Remote sensing software tools are very expensive and their cost can run into thousands of dollars. Instead of shelling out so much money or procuring pirated copies (which puts you at a risk of prosecution), you will learn to carry out some of the most important and common remote sensing analysis tasks using a number of popular, open source GIS tools such as R, QGIS, GRASS and ESA-SNAP.  All of which are in great demand in the geospatial sector and improving your skills in these is a plus for you.
This is an introductory course, i.e. we will focus on learning the most important and widely encountered remote sensing data processing and analyzing tasks in R, QGIS, GRASS and ESA-SNAP
You will also learn about the different sources of remote sensing data there are and how to obtain these FREE OF CHARGE and process them using FREE SOFTWARE.
In addition to all the above, you’ll have MY CONTINUOUS SUPPORT to make sure you get the most value out of your investment!
  • People with prior expereince of working spatial data
  • GIS analysts
  • Ecologists
  • Forestry and Conservation Practioners
  • Geographers
  • Geologists.


92% off #udemy course #couponcode
#Satellite #Remote Sensing Data #Bootcamp With #Opensource Tools
https://www.udemy.com/satellite-remote-sensing-data-bootcamp-with-opensource-tools/?couponCode=REMOTESENSING_15

Spatial Data Analysis With ArcGIS Desktop: Master GIS Techniques and Open Doors to Amazing Geospatial Careers

I WANNA LEARN SPATIAL DATA ANALYSIS, BUT…
  • I found most spatial data books & manuals vague
  • There are no courses that actually teach me how it’s actually done
  • Available resources are expensive & I can’t afford them
  • I want to get a job in the field of GIS and geospatial analysis
  • I work in the field of ecology or quantitative social sciences or hydrology or civil engineering or geography
Over the past few months, I have published multiple courses on Udemy around this topic which will be tremendously helpful to you & most important of all AFFORDABLE!
Today, I’ve created yet another powerful resource for you!
In this course, over 50+ hands-on and practical lecture, I will help you master the most common and important geo-processing tasks that can be performed with ArcGIS Desktop, one of THE MOST important GIS software tools available.
I will also show you the kind of questions answered through Spatial Analysis & data used.
First of all, we’ll start some basic GIS tasks like “Zooming”.
Then, we’ll move into more complex processing tasks like “Geo-Statistics”.
We’ll also deal with some theoretical concepts related to Spatial Data Analysis, and then we’ll focus on implementing some of the most common GIS techniques (all the way showing you how to execute these tasks in ArcGIS Desktop).
The stuff you’ll learn from this course will be extremely useful in terms of you being able to implement it on future Spatial Data projects you’ll be working on (in a variety of disciplines from ecology to engineering).
My name is MINERVA SINGH.
I am an Oxford University MPhil (Geography and Environment) graduate.
I recently finished my PhD at Cambridge University (Tropical Ecology and Conservation).
I have SEVERAL YEARS OF EXPERIENCE in analyzing REAL LIFE DATA from different sources in ArcGIS Desktop.
I’ve also published my work in many international peer reviewed journals.
My course is a HANDS ON TRAINING with REAL data.
It’s a step by step course covering both the THEORY & APPLICATION of Spatial Data Analysis.
I teach Practical Stuff that you can learn quickly and start implementing NOW.
This is one of the most comprehensive courses on this topic.
I advise you to take advantage of it & enroll in the course TODAY!
Please make sure you have access to ArcGIS before enrolling
  • Academics and Researchers
  • Conservation managers, field ecologists and social scientists
  • People looking to get started in the field of GIS Analysis
  • Students of Geography, Environmental Sciences, Geology, Hydrology, Engineering, Earth Sciences and Ecology
  • People looking to use ArcGIS Desktop in academic or professional settings.

#ArcGIS #Desktop For Spatial #Analysis: Go From Basic To #Pro 90% off !!! #coupon #offer #discount #deals #couponcode
https://www.udemy.com/arcgis-desktop-for-spatial-analysis-go-from-basic-to-pro/?couponCode=ARCGIS_PROMO_20

[Intermediate] Spatial Data Analysis with R, QGIS & More

PRACTICAL TRAINING WITH REAL SPATIAL DATA FROM DIFFERENT SOURCES.
----------------------------------------------------------------------------------------------------------------
DEVELOP MAD GIS SKILLS AND PERFORM SPATIAL DATA ANALYSIS USING FREE KICKASS TOOLS SUCH AS QGIS, R, GRASS AND GOOGLE EARTH.
----------------------------------------------------------------------------------------------------------------
This course is designed to take users who use R and QGIS for basic spatial data/GIS analysis to perform more advanced GIS tasks (including automated workflows and geo-referencing) using a variety of different data. In addition to making you proficient in R and QGIS for spatial data analysis, you will be introduced to another powerful free GIS software.. GRASS.
The course is taught by Minerva Singh, A PhD graduate from Cambridge University, UK, who has several years of research experience in Quantitative Ecology and an MPhil in Geography and Environment from Oxford University. Minerva has published papers in international peer reviewed journals and given talks at international conferences.  
The underlying motivation for the course is to ensure you can put spatial data analysis into practice today and develop sound GIS analysis skills. You’ll be able to start analyzing spatial data for your own projects, and IMPRESS YOUR FUTURE EMPLOYERS with examples of your PRACTICAL spatial data analysis abilities. This course is different from other training resources. Each lecture seeks to enhance your GIS skills in a demonstrable and tangible manner and provide you with practically implementable GIS solutions.
This is an intermediate course in spatial data analysis, i.e. we will build on on basic spatial data analysis tasks (such as those covered in the beginner version course: Core Spatial Data Analysis: Introductory GIS with R and QGIS) and teach users how to practically implement more complex GIS tasks such as interpolation, mapping spatial data, geo-referencing and detailed vector processing. Additionally you will be introduced to preliminary geo-statistics and mapping/visualizing spatial data.
This course covers complex GIS techniques, and by completing this course, you will be implementing these PRACTICALLY in freely-available software, thus making you MORE ATTRACTIVE TO EMPLOYERS.  
It is a practical, hands-on course, i.e. we will spend a tiny amount of time dealing with some of the theoretical concepts pertaining to the different spatial data analysis techniques demonstrated in the course. However, majority of the course will focus on working with real spatial data from different sources. After each video you will learn how to practically implement a new concept or technique in the different softwares used for the course.
During the course of my research I have discovered that R is a powerful tool for collating and analyzing spatial data acquired from different sources.  Proficiency in spatial data analysis in R and QGIS has helped me publish more peer reviewed papers faster. Feel free to check out my profile on ResearchGate.
FREE BONUS: You will have access to all the data used in the course, along with the R code files. You will also have access to future lectures, resources and R code files. Enroll in the course today & take advantage of this special bonus!


  • People who have a basic understanding of spatial data analysis and want to learn more
  • Students interested in building up on skills acquired through my previous course Core Spatial Data Analysis: Introductory GIS with R and QGIS
  • Academics
  • Conservation managers
  • GIS Technicians.


95% Discount #coupon code for Spatial #Data #Analysis with R, QGIS & More #udemy #course
https://www.udemy.com/intermediate-spatial-data-analysis-with-r-qgis-more/?couponCode=10PROMO


Core Spatial Data Analysis: Introductory GIS with R and QGIS

Do you find GIS & Spatial Data books & manuals too vague, expensive & not practical and looking for a course that takes you by hand, teaches you all the concepts, and get you started on a real life project?
Or perhaps you want to save time and learn how to automate some of the most common GIS tasks?
I'm very excited you found my spatial data analysis course. My course provides a foundation to carry out PRACTICAL, real-life spatial data analysis tasks in popular and FREE software frameworks. 
My name is MINERVA SINGH and i am an Oxford University MPhil (Geography and Environment) graduate. I am currently pursuing a PhD at Cambridge University (Tropical Ecology and Conservation). I have several years of experience in analyzing real life spatial data from different sources and producing publications for international peer reviewed journals.
In this course, actual spatial data from the Tam Dao National Park in Vietnam will be used to give a practical hands-on experience of working with real life spatial data and understanding what kind of questions spatial data can help us answer. The underlying motivation for the course is to ensure you can put spatial data analysis into practice today. Start analyzing spatial data for your own projects, whatever your skill level and IMPRESS your potential employers with an actual example of your spatial data analysis abilities.
This is a core course in spatial data analysis, i.e. we will focus on learning the most important and widely encountered spatial data analysis tasks in both R and QGIS
It is a practical, hands-on course, i.e. we will spend a tiny amount of time dealing with some of the theoretical concepts related to spatial data analysis. However, majority of the course will focus on working with the spatial data from the Tam Dao National Park, Vietnam. After each video you will learn a new concept or technique which you may apply to your own projects.
  • Academics
  • Researchers
  • Conservation managers
  • Anybody who works/will work with spatial data.

#Core #Spatial #Data #Analysis: Introductory GIS with R and QGIS 93% off #couponcode for #udemy #course
https://www.udemy.com/core-spatial-data-analysis-with-r-and-qgis/?couponCode=EARLYBIRD_COREGIS

[Intermediate] Spatial Data Analysis with R, QGIS & More

PRACTICAL TRAINING WITH REAL SPATIAL DATA FROM DIFFERENT SOURCES.
----------------------------------------------------------------------------------------------------------------
DEVELOP MAD GIS SKILLS AND PERFORM SPATIAL DATA ANALYSIS USING FREE KICKASS TOOLS SUCH AS QGIS, R, GRASS AND GOOGLE EARTH.
----------------------------------------------------------------------------------------------------------------
This course is designed to take users who use R and QGIS for basic spatial data/GIS analysis to perform more advanced GIS tasks (including automated workflows and geo-referencing) using a variety of different data. In addition to making you proficient in R and QGIS for spatial data analysis, you will be introduced to another powerful free GIS software.. GRASS.
The course is taught by Minerva Singh, A PhD graduate from Cambridge University, UK, who has several years of research experience in Quantitative Ecology and an MPhil in Geography and Environment from Oxford University. Minerva has published papers in international peer reviewed journals and given talks at international conferences.  
The underlying motivation for the course is to ensure you can put spatial data analysis into practice today and develop sound GIS analysis skills. You’ll be able to start analyzing spatial data for your own projects, and IMPRESS YOUR FUTURE EMPLOYERS with examples of your PRACTICAL spatial data analysis abilities. This course is different from other training resources. Each lecture seeks to enhance your GIS skills in a demonstrable and tangible manner and provide you with practically implementable GIS solutions.
This is an intermediate course in spatial data analysis, i.e. we will build on on basic spatial data analysis tasks (such as those covered in the beginner version course: Core Spatial Data Analysis: Introductory GIS with R and QGIS) and teach users how to practically implement more complex GIS tasks such as interpolation, mapping spatial data, geo-referencing and detailed vector processing. Additionally you will be introduced to preliminary geo-statistics and mapping/visualizing spatial data.
This course covers complex GIS techniques, and by completing this course, you will be implementing these PRACTICALLY in freely-available software, thus making you MORE ATTRACTIVE TO EMPLOYERS.  
It is a practical, hands-on course, i.e. we will spend a tiny amount of time dealing with some of the theoretical concepts pertaining to the different spatial data analysis techniques demonstrated in the course. However, majority of the course will focus on working with real spatial data from different sources. After each video you will learn how to practically implement a new concept or technique in the different softwares used for the course.
During the course of my research I have discovered that R is a powerful tool for collating and analyzing spatial data acquired from different sources.  Proficiency in spatial data analysis in R and QGIS has helped me publish more peer reviewed papers faster. Feel free to check out my profile on ResearchGate.
FREE BONUS: You will have access to all the data used in the course, along with the R code files. You will also have access to future lectures, resources and R code files. Enroll in the course today & take advantage of this special bonus!
I don’t have to remind you that we have a RISK-FREE GUARANTEE in the case of you not being satisfied with the course. Take action now!


  • People who have a basic understanding of spatial data analysis and want to learn more
  • Students interested in building up on skills acquired through my previous course Core Spatial Data Analysis: Introductory GIS with R and QGIS
  • Academics
  • Conservation managers
  • GIS Technicians.
95% OFF #coupon offer for Spatial #Data #Analysis with R, QGIS & More #udemy #course 
https://www.udemy.com/intermediate-spatial-data-analysis-with-r-qgis-more/?couponCode=10PROMO