[FREE LIVE WEBINAR] How To Start Your Career in Data Science- What are The Next Steps?

About the Course

Join this FREE webinar if you are anyone from below:

You are a beginner or a fresher who is aspiring to make a dream career in the field of Data Science.

You want to learn what you need to do to get a job as a data scientist.

You have no prior experience and want to get started with Data Science.

You are not sure if you have the right skillset to make it big in the field of Data Science.

You want to know top mistakes to avoid and gain edge on your competition.

You are looking to gain the knowledge to choose best career path for you.

You will also understand how come there is a shortage of Data Scientists in companies when everybody, even a non-technical person, is trying to become a data scientist today.

Join the Free Webinar To get expert insights on what can make you a better data scientist than other applicants?

Course Objective

How Is Data Science Shaping The Future?

How to Know if Data Science is Right Field for You?

Top 3 Data Science Careers Options for You.

How to Make It in The Data Science Field?

Key Mistakes You Should Avoid.

What Key Skills You Need to Focus On?

What Type of Background Can Give You An Edge?

How to Overcome Gaps in Your Experience & Resume?

Job Market & Career Outlook …and more!

Who is the Target Audience?

Freshers or beginners who wants to make career in Data Science

Basic Knowledge:

No pre-requisites. Just passion to learn

 

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How to Write a Resume? | Resume Writing Complete Guide [2020]

What is a Resume?

I will start this blog with a piece of advice: DON’T read it. That is, if you are either of these: Donald Trump, Tom Hanks, LeBron James, Leonardo DiCaprio, Roger Federer, The Beard, Brad Pitt, Steph Curry, Angelina Jolie, Kim Kardashian, Rafael Nadal, et al!

The personalities mentioned here are some of the one-in-a-million people that don’t need a resume because their name is enough. However, for you and me, a resume is our professional identity. It is that succinct, valuable document that will drive our chances of getting selected for a job of our choice.

This blog is for those among you who face these challenges:

  • You are convinced that you have a great professional profile, but are frustrated at not getting interview calls
  • You believe that you have given a good account of your professional profile in your resume, but are not getting noticed by employers and job portals
  • You are unable to describe all your career highlights and accomplishments in a manner that enables your resume to stand out and get noticed
  • You are seriously wondering if you need to hire the services of resume writing companies to make your resume more appealing.

This blog will explain the elements and dynamics of a resume that employers cannot take their eyes off. I intend to help you address the issues you may have, such as those listed above, or related ones. I am confident that by the time you have read this blog, you will gained a thorough perspective of what it takes to craft a resume that can no longer be ignored.

Let us get started, then! Let us start by getting an understanding of what a resume is, which will serve as the basis for getting a grasp of how to write one that will land you the job you are looking for.

In the process, you will learn some of the most crucial aspects of rules and conventions concerning how to write a resume that is not only proper and relevant to your profile, but also increases your chances of getting noticed and fished out from among a heap of competing ones.

We will be covering the following topics:

  • What is the difference between a Resume and a CV?
  • What is the difference between a CV and cover letter?
  • What Is the Purpose of Writing A Resume and Why It Is Important?
  • How to Write A Resume?
  • How to Write a Cover Letter?
  • Most Important Resume Sections
  • How to Tell Your Story on LinkedIn?
  • Various Resume Formats
  • What are the common mistakes of a resume? Top Red Flags
  • Outdated Resume rules you need to stop following
  • How to Write a Resume That Stands Out |17 Simple Steps
  • Bonus Resume Writing Tips

Click Here to continue reading 

Should I Learn Python or R for Data Science?

R vs Python

If you are someone who wishes to make a career in Data Science, then the ultimate question you have to face is, which programming language you should learn and why? There have been numerous discussions on public forums with people advocating for R or Python for plenty of reasons.

Though it completely depends on your choice, comparing both the languages on some grounds will surely help you make the right decision.

What are R and Python?

R is an open-source programming language developed for statistical analysis and computations.

Like R, Python is also an open-source programming language that was initially developed as a general-purpose programming language, and later branched out to be a language for Statistical Analysis and Machine Learning Modeling.

Let’s understand the difference between these two highly popular Data Science languages:

Ease of Installation

Well to start with, R packages are solely managed by CRAN (The Comprehensive R Archive Network) repository that manages the updated versions, their installations, and related documentation of R Packages. All the packages you install in R are stored in CRAN. Also, any new package to be added in R should be submitted to CRAN. Currently CRAN has over 16000 additional statistical packages. This is why it is easier to install R.

On the other hand, Python has two package management platforms, Conda and PyPI (Python Package Index) that include over 100k Python packages. There have been inconsistencies found in Packages, Libraries, and Versions while installing Python due to two repositories. Due to this reason, it is a little tedious to install Python.

Want to read about Python in detail? Read this riveting blog!

Robustness and Flexibility

R has all the features that Python has in terms of programming ability, statistical computing and modeling, but Python is more flexible and robust. Python is a better option when it comes to integrating it with web applications and production.

However, R is less robust and versatile, which is why it is limited to statistical computing and mathematical modeling.

Ease of Learning

One of the most frequently asked questions is “Which between R and Python is easy to learn?”.

Both R and Python have almost similar features, but when it comes to syntax, R is a little complicated and is better for someone who is already familiar with other programming language. On the other hand, Python has a relatively simpler and readable syntax and hence, for anyone who is about to start-off with a programming language, Python is a good option.

However, when the model building becomes complicated, it requires someone who is proficient in Python.

Speed of Processing

Usually Python is 8 times faster than R till there are up to 1000 iterations. When the number of iterations increases, R typically surpasses Python’s speed. In comparison to Python, R requires more lines of codes to perform a certain task, which make the programs more complex and bulkier.

Statistical and Analytics Ability

R was designed for statistical computation and Modeling purposes and hence it performs better for any level of complex computation. R has better statistical packages and libraries for dashboard than Python. Python being a general programming language somehow lacks the packages and libraries for Data Science. Python is better suited for modeling and machine learning, which is complicated in R.

Suitable Area

The focus of R is primarily into statistical analysis and hence it is better suited to academia and research. On the other hand, Python being the programming language for all purposes is suitable for tech industry. However, Python also comes with packages that can create an environment similar to R.

There are plenty of other grounds that differentiate R from Python. The following table will further clarify that!

 

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Boost Your Immune System Naturally To Fight (Covid-19)

The Outbreak Of The Coronavirus (COVID-19) Has Impacted People In Varying Ways On An International Scale.

Description

Dear students,

As the world grapples with the quickly evolving coronavirus I wanted to reach out and let you know that I hope you, your family and loved ones stay safe and healthy during these particularly challenging times.

The outbreak of the coronavirus (COVID-19) has impacted people in varying ways on an international scale. It is understandable that during times like these people may be feeling fearful, anxious and overwhelmed by the constantly changing alerts and media coverage regarding the spread of the virus.

While it is important to stay informed, the following are some Mental health and Well-being tips and strategies to help you continue looking after yourselves and each other during these very difficult times.

Manage your exposure to media coverage as this can increase stress levels and feelings of fear and anxiety. Be mindful of sources of information and ensure you are accessing good quality and accurate information.

Follow a “calm yet cautious” approach – do your best to remain calm and be mindful not to contribute to the widespread panic that can hinder efforts to positively manage the outbreak. Ensure you are following directives issued by the government, medical advice and observe good hygiene habits.

Show compassion and kindness to one another – these times of fear, isolation (both physical and social) and uncertainty are when it is most important that we strengthen our sense of community by connecting with and supporting each other in whatever way that we can while still continuing to keep ourselves safe.

I’ve had to close my clinic doors in the last few weeks as I’m sure has been the case for so many of you but instead of getting caught up in the stress and uncertainty of it all, I decided to put my time and energy into creating a course that would provide great benefit to you, my students during this current pandemic.

In this course I share with you my all time favorite techniques for helping to defuse stress and boost immunity.

These are the techniques that I’ve been using daily with my own family to keep us safe and healthy during this time and I do hope you’ll find them useful too!

Our immune system is designed to protect our bodies from infection by fighting foreign invaders such as viruses and harmful bacteria as well as cancer.

However, excessive stress as many of us are dealing with now more so than ever wreaks havoc on our immune systems by affecting our thymus gland. This gland manufactures white blood cells called t-cells which help to regulate immunity and also produces various immune related hormones.

The stress reaction diverts resources to the main parts of the body that need to deal with stress, mainly the brain, heart and muscles.

Other systems are then deprived of resources, including our immune systems. Hormones produced by the adrenal glands can cause the thymus to shrink and also degrade the activity of the white blood cells, causing damage to the body’s ability to fight infection. As a result, high levels of stress can result in reduced resistance to common infections such as colds and flu.

As this course focuses on specific techniques that help to defuse stress levels, strengthen your thymus gland and overall immunity and much, much more…working your way through it should definitely be high up on your list of things to get stuck into during this somewhat quiet time.

As an added bonus the course also offers students a full colour comprehensive course manual which goes more in depth into the techniques being taught, so be sure to go to the ‘Bonus Material – Downloads’ section as soon as you sign up and download your copy!

Who this course is for:

  • This course has been created for students of ‘All Levels’

Basic knowledge
  • No previous experience necessary

What will you learn
  • Boost Your Immune System Naturally
  • Discover How to Eliminate Stress Fast
  • Enhance Brain Function
  • Boost Energy Levels
  • Improve Digestion
  • Dissolve Back Pain

Python Career Guidelines: How To Become A Python Professional?

One of the familiar questions that we read these days on platforms such as Quora is: how do I become a professional Python programmer?

Yes, today many IT professionals are willing to pursue their career as Python programmer.The reason for the rise in such trend is because Python is emerging as the one of the most powerful programming languages of the present IT world.

Today we can see that more and more companies are relying on Python to develop their software projects across different industries. This programming language is being used in various fields such as Artificial Intelligence, Machine Learning and Data Science etc.

These are some of the factors that have led to offered huge career opportunities for young aspiring professionals across the world.

Source: Stack Overflow

We have also observed that many young IT professionals are looking for a right career guide that would help them to become a Python professional. Sowith an aim to help all such people all we are presenting here this blog to discuss a career guideline to become Python professional.

If you are new to the world of Python and are willing to learn it then we recommend to look into these online courses that contains a library of Python course that help you to learn this programming language efficiently.

In this blog, I will be covering the following topics.

  • Why Learn Python?
  • What are the career opportunities related to Python programming?
  • Top companies using Python Programming
  • Where Python developers can find jobs?
  • How Simpliv can help You to become a Python professional?
  • 5 Key Takeaways

Why Learn Python?

Python is a general purpose, object oriented, easy to learn programming language. There are many reasons why one needs to learn Python. Some of them are as follows:

  • Python supports Object-Oriented programming language
  • Python follows a easy syntax and hence has a simple coding structure
  • Python is considered as an easy programming language to learn for beginners
  • Python supports set of different libraries and API’s that will help the developers to build the software applications easily.

Now let us see some of the career opportunities of Python Programming.

 

Click Here to continue reading 

Learn Python Programming Fundamentals: A Beginner’s Guide [Updated 2020]

Python is one of the powerful, high-level, easy to learn programming language that provides a huge number of applications. Some of its features, such as being object-oriented and open source, having numerous IDE’s, etc. make it one of the most in-demand programming languages of the present IT industry.

According to TIOBE index, as of January 2020, Python is one of the popular programming languages. By looking at the popularity of this programming language, many IT professionals, both beginners as well as experienced alike, are willing to build their career as a Python developer.

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Image source

Many people have daunting questions like:

  • How one can start to learn Python?
  • What are the fundamental concepts you need to know to learn Python?

With an aim to help similar concerns, Simpliv is presenting this blog to discuss about the various fundamental concepts of Python programming and take you along to start writing Python programs on your own.

Before proceeding further, at this point, we would like to suggest that you read blog (first blog in this series) on introduction to Python programming language.

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Without further ado, let us quickly look at the topics we will be covering in this blog:

  • How to install Python
  • Basic syntax
  • Python identifiers
  • Python reserved words
  • Indentation
  • Quotations in Python
  • Comments in Python
  • Using Blank lines
  • Constructs
  • Python Variables
  • Python Data Types.

Let us look at the 8 Steps to install Python

Let us start by learning the steps to install Python. The following are the steps need to be followed while installing Python on Windows:

Step 1:

Download python.exe or zip bundle from Python official website https://www.python.org/downloads/windows/.

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Step 2:

Select Downloads and download python.exe file for Windows.

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Step 3:

Once the installer is downloaded, run the Python installer. Check on Install launcher for all users.

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Step 4:

Select Customize installation. Check on all settings Document, pip, tcl/tk, python test suite, py launcher, for all users. Click on Next.

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In detail to learn more about Python Fundamentals Read Here : http://bit.ly/2Sz4XRI

An Ultimate Resource To Learn Python Programming Easy Way In 2020 | Simpliv

For anyone serious about pursuing and growing in a career in IT, a basic question that roils the mind is this: which is the best programming language to learn? Most people who want answers to this question tend to get slightly confused, because they would have heard about multiple languages, such as JavaPythonPHP, etc. It is in selecting that one truly apt programming language to learn that the challenge lies.

Even learners who are fully aware of the benefits of most programming languages are in a fix about choosing the one language they should learn, and also about the best ways to learn a programming language.

It is very important for the students to make the right choice from the start as it will take a lot of time and effort to master any given programming language. While selecting any programming language to learn, students need to consider few aspects such as:

  • The difficulty level of a programming language you are willing to learn
  • The skills you already know that align with a programming language
  • Reasons you want to learn a programming language.

Every programming language has its advantages as well as disadvantages. A language that is perfectly suited for developing a certain types of applications  might not fit for developing other types.

So, keeping the debate aside of which programming language is good to learn among all, here in the following discussion we will focus towards understanding what is Python programming language and what are its benefits. At a later stage of this blog, we will discuss different reasons to learn Python.

In the upcoming discussion we will focus on the following topics:

  • What is Python?
  • Python 2 VS Python 3
  • History of Python
  • Features of Python
  • Reasons to learn Python in 2020
  • Advantages of Python
  • Applications of Python.

Initially, let us discuss what is Python

What is Python? This is one of the most asked questions  these days in the technology space. The answer is, Python is one of the powerful programming languages that is high-level, open-source, and most commonly used for web development, scientific and mathematical application development, etc.

One of the great advantages of this programming language is it provides excellent library support and has a large developer community. It also provides easy integration with web services and GUI-based desktop applications.

“Did You Know? Python is one of the 9 programming languages that influenced the design of JavaScript”.

Python is fast, easy-to-use and the most preferred programming language for developing projects by many companies such as YouTube, Instagram, Pinterest, and Quora, etc. Because of its excellent features, Python is considered an easy to learn programming language for beginners and is also sophisticated enough for experienced professionals to use.

Apart from web development and desktop app development, Python is extensively used in the Data Science field and is used for developing Machine Learning projects. Because of its huge popularity, many IT professionals are learning this programming language to build their career as a Python developer.

Python 2 v/s Python 3

Having understood what is Python, let us start exploring the different versions of Python, such as Python 2 and Python 3. Later we will look at the major differences between them.

Python 2: Python 2 has been the more popular version. This version released in the year 2000 and made the code development process very easy compared to its earlier versions. Python 2 is a more transparent and inclusive language development process than its earlier versions.

Python 2 has implemented technical details of Python Enhancement Proposal (PEP). Python 2.7 or Python 2.7.20 is the last version of Python 2 and is no longer under development and in the year 2020, it will be discontinued.

Different versions of Python and their release dates are as follows:

  • Python 2.0 – October 16, 2000
  • Python 2.1 – April 17, 2001
  • Python 2.2 – December 21, 2001
  • Python 2.3 – July 29, 2003
  • Python 2.4 – November 30, 2004
  • Python 2.5 – November 19, 2006
  • Python 2.6 – October 1, 2008
  • Python 2.7 – July 3, 2010

       Image source: Guru99

Python 3: Python 3 is an improved version. It was released in the year December 2008. This  version was released with the aim of fixing the errors that existed in Python 2. Many companies are switching towards Python 3 version. This version provides huge library support.

Different versions of Python 3 and release dates are as follows:

  • Python 3.0 – December 3, 2008
  • Python 3.1 – June 27, 2009
  • Python 3.2 – February 10, 2011
  • Python 3.3 – September 29, 2012
  • Python 3.4 – March 16, 2014
  • Python 3.5 – September 13, 2015
  • Python 3.6 –December 23, 2016
  • Python 3.7 – June 27, 2018
  • Python 3.8.1 – December 18, 2019.

Some of the key differences between Python 2 VS Python 3:6

The above description provides you some valuable information about the major differences between the Python 2 and Python 3 versions. Before you choose a particular version of Python to develop your project, it is recommended to be well aware of all the available packages you need or you want to use because both these versions have similar kinds of syntax but they are not entirely compatible.

Read here to continue in depth brief history of Python http://bit.ly/2SnXvbW

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