Today. This is because aside being one of the highest paying jobs out there, building a data analytics career is one great step towards big data and machine learning – fields which have been described as the most beneficial if one is to enjoy his or her life in the next couple of years. But how can one build a career in data analytics?
How to Build a Career in Data Analytics…
There are several steps to build a meaningful career in data analytics. One of these could be getting a data science degree, but what we have in the world today is that even those who did studied data science actually end up not getting a clear image of what they’re up to. This has been observed as a common trend when such graduates are interviewed. A lot of data science graduates often run to Data Analysts who had no degrees, just to learn how to pitch a tent for themselves in the data analytics field.
Steps to Build a Data Analytics Career in Nigeria.
First of all, you might need to work on your mindset. I boldly say this because there is this general believe that because Ada didn’t get a science oriented degree, she can’t venture into Tech or IT.
The above is just a norm. We have a lot of successful professionals in Tech and IT who never sat a science degree test in the past.
Now that you’re done with the mindset thingy, let’s fix you on the path to building a successful data analytics career.
Already a Graduate? Of course, a fundamental education is very important… No problem. Gone are the days when entry roles in data analytics required some degree in computer science, mathematics, etc. These days, while a basic is very important, all one would need to build a very successful data analytics career would be some Certifications obtained by undertaking some professional certificate programs. Funny thing is, many of those currently doing great as data analytics today actually self studied. Others started off learning how to use Excel, attended some bootcamp and today, they’re leaders In the field.
Hone your Data Analytics Skills.
Now that we’re certain your fundamental education whether a degree or not cannot hinder you from building this futuristic career, it’s time to pick your gadgets and start from the basics.
– Statistics: one of the basic knowledge you must have is how to present data, the basic language of data just as you learnt back in high school where we or graphs, bar charts, pie charts during Economics and Mathematics classes.
– Basic Knowledge of R programming language or python. This isn’t really a standard as most employers won’t bother. Just understand how to present data and the language around it.
– Data Extraction, Preparation: this is knowing how to extract and prepare data before subjecting it to visualization tools. There are many data extraction tools. This could include tools like Google analytics usually installed on websites to have an overview of the audience, readers, etc.
– SQL: Stands for Structural Query Language. The simplest of it is PostgreSQL. A basic knowledge on how to query a database to obtain some data is very important in data Analytics. Learning any of the SQL framework gives you an advantage over others struggling to get in the field.
– Data Cleaning Skills: As far as you’re going to build a career in data analytics, be ready to accept the fact that your path is going to cross so many unclean data. Unclean data is not fit for visualization, it is not for for presentation, so it’ll be your job to clean and make it fit for whatever purpose it’ll be subjected to. Oh, I love data cleaning part, especially when it involves power BI, Excel, Vlookup, etc
– Data Visualization: If you’re able to obtain unclean data, clean it up to the point where it can be visualized to produce charts, graphs, etc. Then you’re on the line to being a successful data analyst.
What Tools Do I need to Learn?
In order to build a successful data analytics career, it is important to form a very strong bond with software’s like; Microsoft Excel: Basic data cleaning, visualization tool Microsoft Power BI: used for data cleaning, Visualization PosgGRE SQL: Best SQL tool for beginners Tableau: Advanced Data Visualization tool Python 3: Can be substituted with R and very important if you ever intend to grow into machine learning. Panda: Another powerful tool for those working with s very large amount of data.
Where do I Start a data analytics Journey?.
Right here. While this post is majorly taking you through the process of building s successful data analytics career, it is important to point out that there are platforms that has made it very easy to get a step ahead. I’ll share a few of these platforms below.
Dahel is become the leading training institute for young Data analytics. It’s a firm created by Mr David Effiong and his team. Working with Dahel has enabled a lot of Nigerians establish themselves as young data analysts. The company even consults and trains personnel for Nigerians big firms..
Dahel Techies takes you through all data analytics tools mentioned above and this they do at a mouth watering fee. The company has trained a lot of people already and still taking more students.
With Dahel, your normal work can still go on while you take your classes because your sessions comes up in the evening when you’re done with your regular job. Bonus: Dahel also shows you the quickest ways to land your first job, shares available vacancies with its graduands and also recommends them to new openings
Benefits of working with Dahel Techies
Working with real Data: Dahel is a training institute that would train you to become a good data analyst as well as showing you how to obtain data, clean, visualize as well as make accurate presentations.
Shows you how to Build your Portfolio Having a portfolio for all data you’ve worked with is a great way of showing your potential employer that you know what you’re doing as far as data analytics is concerned. This means while training with Dahel Techies, you’re shown how to obtain an unclean data, clean it up, visualize as well as build a personal portfolio which boosts your reputation as an experienced data analyst.
Dahel Internship As a part of your training, dahel affords you the opportunity to learn to become a good data analyst. Another good thing is, during your internship, you’re taught how to present your findings to your superiors. This means you don’t only learn how to visualize data, but also how to use the professional language to present your findings to decision makers in the industry. Of course, data analytics is all about refining data to the point of making out Intelligent reports, insights from it.
These insights are then presented to decision makers to act upon.
2. Taking an Online Course from Google
Yes, like I’ve said before, there are a lot of platforms to help beginners build a successful data analytics career Today. Another one of these would be Google. Google is offering a professional data analytics course in Coursera at a very reduced cost.
It’s a self paced learning program that issues you a professional certificate after you complete the training. It might be placed on a $35 Monthly fee but if you join our community, we show you how to get this for free. Yes, you get to learn the entire stuff for free without paying a dime. Coursera usually offer Scholarship in the form of financial aids
Well, that’s not all. Having a Google issued certificate is one top killer point to landing your first data analytics job and building a career from then on. What are you waiting for? Get on board already
How to Market your Data Analytics Skills
Ok, now that you’re done learning how to build a successful data analytics career, I’m going to show you the next step which gears towards marketing your skills. This time, I bring you to the Digital World where your Data analytics skills can be shipped off at some price.
Remote Jobs On Linkedin: As you know, Linkedin is a multifaced online social media for professionals around the world. Personally, i used to look at Linkedin as a useless platform but that was till i understood its potentials. Do you know remote jobs can be found on Linkedin? Now that you have learnt to become a professional Data Analyst, why not start by preparing a suiting Resume and searching out all remote Jobs available on Linkedin?
Upwork Remote Jobs: Aside Linkedin, there are numerous unfilled data analytics positions on upwork. These are remote jobs that can pay as high as $1200 weekly. All you are required to do is craft a very suitable proposal and same same to your potential employer. He or she responds and when you’ve got an agreement, you’re presented a contract.
Remote Data Analytics Jobs on Fiverr: Fiver is yet another remote work platform that is ready to help you earn even from the comfort of your home. You start off by creating gigs with catchy titles like “I will be your data specialist”, “i will be your data analyst“. Those in need of such services will find your profile and contact you. You get paid a certain amount of money for successfully executing the assigned task.
Conclusion: How to build a Successful Career in Data Analytics
Now that you have learnt how to build a career in Data Analytics, we have also shown you 3 platforms to kickstart earning with what you’ve learnt. Why not start today? Do not think it is hard to build that dream career that enables you earn much even without necessarily leaving the comfort of your home!