onyeogalu1:
Thanks for the info

You are welcome. Interested in learning data analysis?

eldolink:
I will like to learn this. Don't know if you help me with some video materials

Hi Eldolink. It's good to know you want to start a career as a data analyst. You can start by learning any of these- Tableau, Python, SQL for data analysis.

This is not far from the truth. A lot has changed during this pandemic of which some things won't go back to the way they are especially in Technology.
Technology has evolved and it will keep being so. Truly, only those who have mastered the art and skills in technology will reap the immense benefits.

It's good to see that a lot of people are interested in programming. Nice thread.
If you want to kick-start your journey into data science/analysis, we offer Tableau, Alteryx. SQL, and Python training. Check signature for more info.

Liechtenstein.....

If you want to learn how to become a Python developer in 2020. Join a live discussion on YouTube by Andrei Neagole popular developer and trainer with tons of great tips.
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If you want to learn how to become a Python developer in 2020. Join a live discussion on YouTube by Andrei Neagole popular developer and trainer with tons of great tips.
https://www.youtube.com/watch?utm_source=mailerlite&utm_campaign=live_today_python_developer_roadmap&v=d5BzuLlII_Y&feature=youtu.be&utm_medium=email&utm_term=2020-06-04&app=desktop

If you want to learn how to become a python developer in 2020. Join a live discussion on YouTube by Andrei Neagole popular developer and trainer with tons of great tips.
https://www.youtube.com/watch?utm_source=mailerlite&utm_campaign=live_today_python_developer_roadmap&v=d5BzuLlII_Y&feature=youtu.be&utm_medium=email&utm_term=2020-06-04&app=desktop

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Samzeal:


I have installed anaconda on my system but I want to ask if it is for only data analysis or can someone use the python on it to write a normal programming not for data analysis. Sorry if I sound like a novice I just started programming.

Yes, you can use it to write any Python program.

Kenturkey048:
Please how do I install python on my PC??

I recommend you download Anaconda(Python distribution) as it comes with other nice packages like Jupyter notebook, JupyterLab, Spyder, Visual Studio Code, and others.

TheSourcerer:
can we start from the basics like what do you mean exact to code and tips on how to

I shared tips on how to like coding and one of the tips was "to start coding".
What is your question?

When you say “I hate programming”, you are most likely echoing the voice of many others that feel the same way you do about programming.
Computer programming  is the process of designing and building an executable computer program for accomplishing a specific computing result. There are so many broad concepts in programming that can make the learning process frustrating and build a sense of hatred in our minds.

Personally,  coding assisted me in developing several characteristics such as critical thinking, which is quite important to any successful person. The challenges and tasks in coding steadily increased my knowledge and brought fulfillment and excitement into my work life.  

I know how “boring” coding might seem to some people, some even think or feel they can never understand the dots and points of programming. For you to be reading this article right now means you want to change that feeling. So here are my tips on how I overcame the “not good enough” feeling.

1. Identify why you hate programming
The reason most people hate coding is that they can’t seem to figure it out. This automatically makes them feel like they hate it. So, ask yourself if you actually hate it, or if you hate the idea of not being able to figure it out. Once you have identified the problem, you are well on your way to solving it and improving your interest in coding.

2. Work on your mindset
The hate you have towards coding came from your mind. The moment I realized this, I immediately started working on my psych towards coding. Just like my attitude toward vegetables, I decided to focus on the benefits of becoming a good programmer. This method created a logic in my head that kept me interested in coding.

3. Be open to continuous learning
Read code written by people because the first law of programming is  “code is read more than written.” There are multiple resources all over the internet that I used in learning, with quality content for little or no cost. In programming, learning never stops. The more you learn, the more there is to know. Fully exploit these resources, and start with easier coding challenges as you steadily grow.

4. Start  coding
Yes, that’s right. The best way to enjoy coding is to code. As you explore several learning resources, look out for challenges. Try these challenges out yourself, till you get them. Trust me, there is a satisfying feeling when you see your codes run.

These tips helped me, improved my interest in coding, and made me a better programmer. You can adopt them too. Good luck as you start your journey in programming

Transitioning or switching to a career in data analysis is not a piece of cake, especially if your current career path is non-technical. It is a road paved with many obstacles and you can get overwhelmed and frustrated somewhere along the line. In this blog post, I’m going to discuss a few things that will help you to switch easily to a career in data analysis.

1. Be sure of your decision
As much as the world is now data-inclined, a career in data analysis is really not for everybody. Before transitioning, be sure to ask yourself if this switch is necessary. Do you really want to do it? If you are only transitioning because everyone is doing it, then you might not be able to push through when the challenges come.

2. Research your position of interest.
There are many job positions in data analysis with different sets of required skills. While the title of a data analyst is the most popular one, and most likely the first one you thought of, there are other options. You can be a database administrator, a BI analyst, an IT systems analyst, a healthcare analyst, an operations analyst, etc. Each of these job positions has their required skill sets. Think about the job position you are interested in, and find out the necessary skill sets.

3. Develop your Skills
There are certain skills that are required of almost every data analyst. These skill sets are important when switching to a career in data analysis, and they include Creative and Analytical thinking, programming languages, Advanced Excel, Data Cleaning, Data visualization, SQL databases, etc.

4. Create a Portfolio
While switching to a career in data analysis, it is important to create a portfolio. Employers want to see concrete evidence of the things you can do, so start building a portfolio the moment you begin your learning process. As you develop your skills, update your portfolio. Not sure where to start? You can create a GitHub account, or sign up on Kaggle to have access to many open projects that you can practicalize with. These projects will strengthen your portfolio.

5. Build a network.
It doesn’t matter if you love it or hate it, networking is important if you want to take that giant leap and switch to a career in data analysis. There are different ways to expand your network without going to networking events. You can start by getting the word out about your interest in data analysis to family, friends, and anyone who cares to listen. Post about it on LinkedIn, and connect with people in your field of interest (professionals and amateurs). You can find like-minded people on platforms like Quora and reach out to them for connections, advice, etc.

6. There is no magical process to this, transitioning careers don’t happen overnight, especially to data analysis. You have to be willing to put in the work and develop yourself.