My AWS Cloud Practitioner Exam Experience.

Abisola Oyetunji — Wed, 12 Jul 2023 20:39:08 +0000

So I failed when I took the first AWS Cloud Practitioner exam in December 2021. Yes, I blew it!
Immediately you hit the submit button, the exam result pops up on your screen.
Oh, I felt so sad!
It was a time to pause and think. Indeed, my preparation was not sufficient, so what did I expect?

Let me share a quick story.
I was undergoing my first internship in tech, a colleague shared with me the Aws cloud practitioner training with a free Voucher link.
Then, I had little experience in customer service, networking, and IT support. I wasn't sure but I knew I wanted to learn an IT skill.

I didn’t start the course till it was three weeks before the exam I had scheduled.
I started with the AWS training and certification course content, and it was quite interesting with a quiz after each module. The modules come with explanations for each quiz, so you get to view the answers and explanations.

For me, the module was quite easy to comprehend, but for the exam, you need a lot of practice, especially if you are just switching into tech, with no prior tech background.
So back to when I did my exam and I failed, my result breakdown was sent to my mail, showing my score of about 600+ and with feedback on areas I did well and also areas to improve on.

So basically the modules talked about topics like Global infrastructure, EC2 instances, Networks and Security, Billing, Identity Management, and a lot more.
You might need to signup for this free training course and also research more materials online.

For the second attempt, I ensure I had a study road map and prepared two months before the exam, studying for at least an average of two hours on the course content.
I watched tutorials on youtube to understand some topics better, and I also practiced questions a lot, I got a link to practice questions from another colleague, which aided my confidence to retake the exam.

I registered again and I did my exam at home, on exam day, the proctor checked the usuals such as the exam space I was using, including my valid Id, and after all the protocol was observed, I started the exam.
I read each question carefully while also being conscious of my time. This time I was confident as opposed to being tensed in my previous exam, I had multiple choice questions and multiple answer questions.

After about 45 minutes, I was done.
I clicked submit and in less than a minute, my result was out!
I passed!!!
For anyone looking to take the Aws Cloud practitioner exam, just take your time to understand the basic concepts, revise and practice well.
I wouldn't be able to drop links to resources I used because they were random links, but it's advisable to start with course content on AWS website.
Here is a link to AWS free training:http://bit.ly/44LJ5WR

Thank you for reading.

Python Pandas Beginner's Tutorial.

Abisola Oyetunji — Wed, 12 Jul 2023 19:17:47 +0000

Python is a widely used programming language that is renowned for its simplicity and adaptability.
Pandas is a versatile and user-friendly Python package that is mostly used for working with data sets.
Specifically for cleaning, exploring, manipulating, and analyzing data, Pandas is a fantastic tool for data analysis.

In this tutorial I will be shring some basic operations using pandas.
Let's dive right!

Installing Pandas.

Installing pandas is quite easy, just open your terminal program if you are using Mac, or your command line for (Pc users).
Enter the following commands.

Next We Want To import Pandas.

Use this:

A quick background knowledge:
The series and the dataframe are two parts of pandas. A dataframe is a multi-dimensional table made up of a collection of series, whereas a series is essentially a column.

Let's examine the Python dataframe creation process.

There are several ways to build a DataFrame from start, and using a simple dictionary is one of your best options.

Let's imagine we operate a fruit stand with a focus on selling apples and oranges. Our goal is to have a row for each customer's purchase and a column for each fruit.
In order to organize this data into a pandas dictionary, we may use the following strategy:

Then Using pandas dataframe constructor to create the dataframe:

How to read data in pandas

We used pd.read_csv here because we are working with a csv file, an excel file is read as pd.read_excel.

Loading the bikes dataset:
Let's take a look at the dataset

.head() gives an output of the first five rows of your dataframe, you could also pass the number
of your desired output.

To get Information about your data, run this command:

To see the shape of your dataset:

Shape is another attribute that helps you quickly see the numbers of rows and columns in your dataset.

Dropping Duplicates

drop_duplicates() is a method used to remove duplicates.

Selecting Column:

Using this method makes it simple to choose the column so that you can clean it up as needed as some datasets may contain column names containing symbols, upper- and lowercase words, spaces, and mistakes.

Checking Missing Value:

You'll probably come across missing or null values when analyzing data, which are simply placeholders for values that don't exist.
Depending on whether a cell is null, isnull() produces a DataFrame with each cell having a True or False value.

Removing Missing Values:

To drop rows with missing values you can also drop columns with null values by setting axis=1:

There are various methods and functions not covered in this tutorial, this is just to introduce you to basic analysis in pandas.

The pandas methods we didn't cover in this tutorial, such as "nunique," "describe," "merge," "pivot," "unique," and many others, will be expanded upon in my subsequent post.

Wrapping up

Data cleaning is more important when analyzing data; as an analyst, this will occupy roughly 80% of your time.
You should work on projects more, and you can read more about pandas documentation by clicking the link below: https://pandas.pydata.org/docs/reference/general_functions.html.

Keep working!

DEV Community: Abisola Oyetunji

My AWS Cloud Practitioner Exam Experience.

Python Pandas Beginner's Tutorial.