Have The Chance That You Deserve

chance

What’s up ? This is THE stephane ANDRE !!! I watched an Olivier Roland’s video  and I learned some good stuff.

We’re lucky that we deserve. It’s true that there a bit of luck in everyone’s success. If I take my case, I recognize that I was lucky to be born in an industrialized country with internet and a good education. But I also created some of the luck that allows me to have my lifestyle today.

We aren’t all born under the same star or not with the same cards, that we can’t change. The thing we can do is to do with what we have to get something better. Having this state of mind is essential to having a better lifestyle. It’s important to be proactive. Whatever the bad luck or the handicap, you have the possibility to realize your dreams. It will be harder than other people but it’s possible with perseverance and patience.

Made with what you have

use what you got to have what you want

Here’s what you have to say to yourself : « My dream is that, maybe I’m not very lucky to succeed and maybe people will think I’m crazy, but I’m going to try to do something. I’m not going to do like the majority of people, I’m going to act, I’m going to do different and do interesting things ».

The truth is that the greatest craziness is to believe that by always doing the same thing, we will have different results. By always doing the same thing, we always have the same results. If you think you deserve better than that in your life, change your comfort, change your actions.

Seneca says something interesting in « Moral Letter to Lucilius ». He talks about people who commit suicide. He says it’s a paradox. It’s a paradox to give up life. What Seneca means is that it’s more constructive to try to change the actions that led to the results of being disgusted with life rather than leaving life.

It’s true that there are also elements that are outside our control or elements like psychology, depression, but whatever your despair, you can choose to change your actions to have another result. I will not lie to you, it will not be easy and it will not happen overnight. The main thing is that you have to try new things, experiment new things, get out of your comfort zone. It’s like this quote : « It’s when we walk that we risk failing ».

Go to another world

comfort zone

The majority of people are in a frozen environment. They’ve been doing the same things for years, they’ve been thinking the same way for years and their lifestyle is stagnating. Get out of this environment to experiment other things and meet people who think differently but share the same values as you. It’s these types of people that will motivate you to do things you never thought you’d do.

When you dream of something, it always seems impossible to you. Publish a book, start a company, change job because it’s frustrating, all that, you feel like it’s outside of your world. It’s true that it’s outside of your world but you have the possibility of making it a reality. Look, imagine that you are on the beach and you have to go to the mountain but you don’t know the way. The majority of people will stay on the beach because it’s more comfortable and safer.

It’s true that it’s safer to stay on the beach but over time, it becomes boring. The best plan is to go towards the mountain and on the way, you will find the first step. At this point, you can ask how to go to the second stage. At the second stage, you can ask how to go to the third stage, etc. In this way, gradually, you reach the mountain learning a lot of new things.

To start a company, it’s the same plan. You find an idea. Then you write a 2-3 pages project that explains how this idea can become a company. Then you look for how to finance this company. Then you create a product or service and you contact prospects, etc. It’s obvious that when you start these projects, you don’t really know the stages. Do this plan now with the knowledge you have, this will allow you to demystify the process and find the first stage.

We must stop dwelling. You have goals, you have frustrations, you want to do things to improve your lifestyle, run the plan. Go to the first stage and get information for the next stage. There is never a perfect time to start (that’s an excuse to procrastinate). You have to start imperfectly and do it anyway. It’s the only way to get the chance you deserve.

Subscribe to my newsletter and share this article if you think it can help someone you know. Thank you.

-Steph

P.S. If you’re in Miami and you like Caribbean food, go to my cousin’s bistro to eat Haitian food. Click here

A Pratical Tip To Validate Your Approach

data science tableau check

I have just enrolled in a Data Science course on Udemy  and I learned good stuff.

How was the A/B test « Number Of Product » ? Easy or difficult ?

Here is the result I found.

data science tableau check bar chart

I think you noticed there was something bizarre. There is an anomaly. We imagine that the more the client has products, the more the client is satisfied with the bank so this type of clients should stay in the bank.

In the first 2 bars we can see that a client who has 1 product is more likely to leave the bank than a client who has 2 products. But when a client has 3 or 4 products, we see a huge rate of clients leaving the bank.

Look, there is a little bizarre detail. In the 2nd bar, we can’t see the « Exited » label. This is because there is no place in the orange part to put the text. To make it simpler, we’ll remove the label « Exited ». Drag and drop on the « Exited » text label to the outside.

data science tableau check bar chart

data science tableau check bar chart

Perfect, we can read the percentages. On the 1st bar, we can see that among the client that have 1 products, 28% left the bank. On the 2nd bar, we can see that among clients who have 2 products, 8% left the bank. This show us that clients who have 1 products are more likely to leave the bank than clients with 2 products.

And for the next bars, we observe an anomaly. On the 3rd bar, we can see that among the clients who have 3 products, 83% left the bank. On the 4th bar, we can see that among clients who have 4 products, 100% left the bank. We clearly see that there is a problem and we need to do a deeper analysis to understand what is going on .

As a Data Scientist, we need to explain what happens in bars 3 and 4. Usually when a client has 3 or 4 banking products, that means he/she is satisfied and is loyal to the bank. But in our case, it’s the opposite because there is a high rate of client who left the bank. This is the time to do deeper analysis.

The first thing to analyze is the quality of the data. There is a very big anomaly and it may be because there is something insignificant in our data that disturbs the statistics. For example, it’s possible that when the bank selected these clients in this sample, there were very few clients with 4 products and all those clients with 4 products left the bank. Sometimes chance can create anomalies and you have to play attention to these effects of chance because they don’t seem important but they can create false interpretations.

To start, we will check the number of clients with 4 products.

In « Measure », move « Number Of Records » (which gives the number of observations) on « Label ».

data science tableau check bar chart

data science tableau check bar chart

We observe on the first 2 bars than many clients with 1 or 2 products selected for our sample. For clients with 3 or 4 products, we can see that there were fewer clients selected for our sample.

There are 220 clients with 3 products and 60 clients with 4 products. These small number of clients probably explain why we observe these anomalies.

In this sample of randomly selected clients, there are very few clients with 4 products and they all left the bank. In this situation, we can confirm that it’s a chance. When thing like that happen, you have to be very careful not to make conclusion too fast and make misinterpretations.

The conclusion is that a lot of clients have been selected for category 1 and 2. For category 3 and 4, there have been few clients selected so we can’t do accurate statistics. We need to do deeper analyze for these categories of clients with 3 and 4 products.

Now, let’s put the percentage back on the bar chart. Click on the « Back » button.

.

data science tableau check bar chart

Or do a click and drag of « SUM(Number of Record) » to outside.

data science tableau check bar chart

data science tableau check bar chart

We saw that there is an anomaly and what is interesting to do is to have a comment to remember to do a more in-depth analysis of columns 3 and 4.

Right-click between the bar chart’s title and the bars. Select « Annotate » then « Areas… ».

data science tableau check bar chart

A window appears. In this window, you write « Low observation in last 2 categories » and click on the « OK » button.

data science tableau check bar chart

data science tableau check bar chart

Click on the comment and move it on bars 3 and 4.

data science tableau check bar chart

data science tableau check bar chart

The next time you work on this bar chart, you will see this comment that will remind you to seriously analyze client who have 3 and 4 products.

Validate our approach

It’s time to show you how to validate an approach and how to validate the data. For this we will create a new A/B test.

Duplicate this worksheet with a right-click on the « NumberOfProducts » tab and select « Duplicate ».

data science tableau check bar chart

And rename the tab « Validation ».

data science tableau check bar chart

For this tab, we will erase the comment. Select the comment and press the « Delete » button on your keyboard.

data science tableau check bar chart

data science tableau check bar chart

Everything is ready, the idea is to find a variable that doesn’t affect our results. That is a variable that has no impact on a client’s decision to leave or stay in the bank.

Take for example, the variable « Customer Id ». Client’s identification number has no influence on the client’s decision to stay or leave the bank.

We’ll do an A/B test with the last digit of the « Customer Id » and we’ill check that there is the same clients proportion who leave the bank in the 10 categories of the last digit of the « Customer Id ». The 10 categories are the numbers 0,1,2,3,4,5,6,7,8,9.

Let’s g.To start, we will create the variable that contains the last digit of the « Customer Id ». To have this variable, we will create a « Calculated Field ».

Right-click on « Customer Id », select « Create » and click on « Calculated Field ».

data science tableau check bar chart

data science tableau check bar chart

Name the calculated field « LastDigitOfCustID ». In the text field, we use the « RIGHT » function with « Customer Id » in parenthesis to select the last character of the « Customer Id ». In our case, the last character of the « Customer Id » is the last digit.

Here is the code to write in the text field : Right ({Customer Id},1)

data science tableau check bar chart

data science tableau check bar chart

Oooops, you see there is a small mistake => The calculation contains errors.

There is an error in the formula because « Customer Id » is a number variable and the « RIGHT » function applies to a variable of type « STRING ».

To use the « RIGHT » function, we will convert « Customer Id » into a string. We will use the « STR » function with « Customer Id » in parenthesis.

Here is the code to write in the text field

And click on the « OK » button : Right (STR({Customer Id}),1).

data science tableau check bar chart

Now, you can see that our calculated field « LastDigitOfCustID » is in « Dimensions ».

Click on « LastDigitOfCustID » and move it on top of « NumOfProducts » in « Columns ».

data science tableau check bar chart

data science tableau check bar chart

Now we have a new bar chart and we see that for every last digit of the « Customer Id » there is about the same proportion of clients leaving the bank. All these proportions don’t correspond exactly to the average of 20% but these slight variations aren’t important.

Seeing this uniform distribution allows us to validate our data because these data are homogenous.

Conculsion

Here’s how you can check the homogeneity of your data. You take a variable that has no impact on the fact that a client leaves or stays in the bank. The example we did with the last digit of the « Customer Id » is excellent. We were able to verify that in each of the categories taken by this variable, if there was the same proportion of clients leaving the bank. As is the case, we can validate our data.

Imagine another result. When we do the test with the last digit of the « Customer Id », we observe that for one of the numbers, the rate of clients who left is really higher than the average. This shows us that there is a problem in our data because it indicates an anomaly.

You can find other ways to verify your data by using other « insignificant variables » to see if the distribution is homogeneous. But be careful when you select an « insignificant variable » because there may be traps.

Here is an example. If you create a variable that takes the first letter of the first name, the distribution will not be homogeneous. The reason is simple, there are many more people who have a name that starts with the letter « M » than with the letter « Y ».

Share this article if you think it can help someone you know. Thank you.

-Steph

Data Science Underrated Job

data science

I have just enrolled in a Data Science course on Udemy  and I learned good stuff.

I know you’ve heard many times « Look this one, this is the job of the future ! ». The simplest thing I can do is explain why it’s interesting to learn about Data Science. This is extremely useful skills for the future.

The principle is that the more data there is, the more work there is for Data Scientists. Let’s look at the amount of data created in the world in the past, present, and estimate for the future.

130 Exabytes have been created by humans since the beginning of humanity until 2005. Ok, you didn’t understand. Don’t worry, it was the same for me. Let’s go back to the source.

Measuring data

measuring data

The source, it’s 1 byte (1B) and 1 byte is the necessary place for a hard drive to hold a letter. For example, the letter « S » = 1 byte (1B).

You go to the next level and you multiply 1 byte (1B) by 1000 which gives you 1 Kilobyte (1Kb). A book’s page contains between 2000 and 5000 letters so we can say that a half of page of text is about 1 Kilobyte (1Kb).

You go to the next level and you multiply 1 Kilobyte (1Kb) by 1000 which gives you 1 Megabyte (1Mb). A 500 pages book is about 1 Megabyte (1Mb).

You go to the next level and you multiply 1 Megabyte (1Mb) by 1000 which gives you 1 Gigabyte (Gb). A human genome (coded) can be contained in 1 Gigabyte (1Gb).

You go to the next level and you multiply 1 Gigabyte (1Gb) by 1000 which gives you 1 Terabyte (1Tb). If you take an HD camera and take a picture every day, every hour for 80 years. All videos can be contained in 1 Terabyte (1Tb).

You go to the next level and you multiply 1 Terabyte (1Tb) by 1000 which gives you 1 Petabyte (1Pb). If you take all trees of Amazonian forest to make paper and you write text on both sides each paper, all this paper represents between 1 and 2 Petabyte (1-2 Pb).

You go to the next level and you multiply 1 Petabyte (1Pb) per 1000 which gives you 1 Exabyte (1Eb). All existing data on planet Earth is contained in 1 Exabyte (1Eb).

More more more data

more data more problems

I think now you understand better how we measure the amount of data in a hard drive. At first, I told you that 130 Exabytes (130 Eb) created by humans from the beginning of humanity until 2005.

In 2010, this increased to 1200 Exabytes (1200 Eb). In 2015, this increased to 7900 Exabyte (7900 Eb). The forecast for 2020 is that this will increase up to 40 900 Exabyte (40 900 Eb).You see how data creation is growing in the world, it goes very very fast.

With a graphic, it’s easier to visualize all that.

data science forecast graph

The blue line on the graph corresponds to the quatitiy that machines (computers) can sore. You see, there is much more data than what computers can store.

The red line corresponds to what Data Scientists can process as data. You see, there is much more data than Data Scientists can process.

Another important point is that the gap between the machines and the Data Scientists will increase over time.

There are very few Data Scientits in the world and because they’re rare, they’re expensive or their salaries are high.

As companies increasingly seek ou Data Scientists, universities and engineering schools are beginning to offer this type of trainining.

The fact that the number of data increase, the companies demand to have Data Scientist to proccess data also increase. This demand is so enormous that it’s expected that in dozen years, everyone will know the Data Science’s basics as the programming now.

I advise you to do research on Data Science, you’ll see, it can be used in any industry, it’s really interesting.

Share this article if you think it can help someone you know. Thank you.

-Steph

3 Words To Say Everyday

do it now

I read a Nerd Fitness article  and I learned good stuff.

When I was a child, I was reserved and I was full of nonsense. I let go of thinks in my bedroom and I was doing everything at the last moment.

Few years later by doing research on internet about personal development, I found 3 words that help me to build health habits, improve my strength training, prepare meals in advance and pay my bills.

It’s very effective and simple. These 3 words are : Do it now.

Click

click

Often after using something , I left it there and there were tasks that I would leave aside to do the when I was less busy. Do you do that ?

When I came home, I played video games. I bought preprepared foods to save time in the kitchen. And of course, I had beers in my rucksack.

Looks at what was going on :

  • I went looking for a plat but all plates were dirty in the sink

  • After cleaning a plate and eating, I left the dirty plate in the sink.

  • After playing video games, I wanted to sleep but there was a bunch of clean clothes to put on my bed. Bam, I put my clothes on the side and I sleep.

  • I woke up and all my clean clothes were on the floor.

  • I went looking a plate for my breakfast and I saw a bunch of dirty plates in the sink, Bam, I shouted insults in the kitchen.

Every morning, I had a negative state of mind. I was a lazy dumb

Avoid overworking

overworking

When I was looking personal development website, I found this Art Of Manliness video . It’s Do It Now  .

When I watched it I said : « Shit, it’s me. It’s sucks ! ». When I wanted to change, I found some tips of Leo Babauta  and this motived me to :

  • Buid new healthy habits

  • Put my clean clothes in the closet instead of throwing them on furnitures

  • Clean plates immediately after eating. Now in the morning, everything is ready for my breakfast.

  • When I receive a mail, email or a message from my social media, I answer immediately instead of doing a reminder and responding later.

It’s my responsability

responsability

Do you noticed when you put something aside, you should manage it some day ? But I noticed when it happen, I must manage a lot of stuff in the same time that I had set aside.

Be indifferent to things

When we put something aside, it means that we’re indifferent. The problem is the day where we should manage it, we’re too tired.

Mental stress

Without knowing it, we accumulate mental stress by seeing things that have to be done. By exemple when I see a bunch of dirty plates in the sink. I know I need to clean them but I don’t do it.

Wait the deadline

A great exemple of a time when indifference and mental stress reach the maximum. I need to have more time to make my tax return and I have some hours left. Watch this beautiful Homer Simpson’s video , you’ll like it.

Wait, I’ll show how it went. It’s funny because my brother to the same thing now :

Clean clothes on my bed

It was always a problem before sleep, especially when I brought a girl back to my bedroom.

Train later in the day

Somedays, I was able to train in the morning but I didn’t do it. All of a sudden, it’s 23h (11pm) and I still don’t train. I trained at home because the gym closed.

Don’t write an article

Somedays, I didn’s write an article on my blog because there were a lof of cool stuff on Facebook, Twitter, Instagram, Snapchat ou this on Youtube . I had to write 2 articles the next day.

Do it now

do it now

By putting things aside, we find ourselves doing a lot of work because everything ends up at the same time. « Do it now » allow us to do 3 importants things :

Less work

We can work less and have the same results. Why work more and have more stress ?

It’s done

Anyway we have to do this task so let’s do it now. In this way, it’s done.

Less mental stress

Each time we make procrastination, we worry more about this task in our subsconscious. Improve our subsconscious, it’s improve our lives.

Do you know the 3 seconds techniques to talk to a girl ? it’s the same to do a task, more you wait and more doubt will make you become lazy.

Train today

If you do your training at the end of the day, do a micro train when you wake up. Do pushups and abs to be in mode « I’m in good shape ». This is will help you to stay motivated to do your training after school/work.

Cook meals for all the week

If you cook all your meals for the week, do it on Sunday. Prepare all your meals in advance to avoid to eat unhealthy during school/work. You don’t have excuses.

Emails

If you want save time with your emails, read and answer immdiately or archive.

Dirty plates

If you want clean plates everytime, clean your plates after eating.

Clean clothes

When your laudry finished, immeidately put it in your closet.

Letters

Open the letter and manage it immediately.

Do you have a funny story and the conclusion is « I can’t believe I was so lazy » ?

-Steph

P.S. Do you want free workout programs ? Click here 

Smartphone apps :

To track my calories, I use MyFitnessPal 

To track my workout program, I use Jefit