MSc with Distinction in Data Science and Analytics
@Uniofherts
📊|| Business Intelligence Technical Developer
@NHS
|| 6.6ft Basketball Beast || God's Lover🕊.
Today, I secured and resumed a job position of a Business Data Analyst in one of UK biggest Financial Tech & Payroll Organisation. This still feels like a DREAM, I literally have to snap my fingers to be sure I’m living a REALITY.
I am tweeting with my hands trembling in fear, your retweet is all I need to find my missing friend who was last seen on September 11th 2020 at Ago Palace way (Lagos), wearing a Yellow polo with black strip and a black Jean trouser. For any information that can help, contact.....
Supper excited to announce that I have officially resumed a Band 7 permanent role with the NHS as a Business Intelligence Technical Developer. Indeed, dreams come true, and the reward of Tech is unlimited if you persevere!!!
Life of a Data Analyst even on weekends. It’s a constant obsession of using the right skills for data preprocessing while ensuring data integration is achieved across all systems to enable business stakeholders draw appropriate insights in making the right decisions.
As a Data Science and Analysis aspirant, being proficient in data science and analytical tools is never enough. Here are 10 skills with tools and libraries that have helped me in elevating my expertise and made me an in-demand professional, capable of transcending disciplines.
It's important to have a roadmap for Data Science and Analysis before starting a career in this rapidly evolving field. In this thread,l'll share the roadmap that has helped me establish a solid foundation, comprehend the entire spectrum, & keep pace with the latest technologies.
Over the past week, I decided to spend my spare time focusing on Data Visualisation using
@NBA
Playoff conference as my database. I chose Power BI as my analytical tool for this project, and the most challenging task of this iterative process is the creation of a data warehouse.
If you're based in the UK and currently working in Data Science and Analytics, kindly focus on expanding your expertise in Cloud computing services, particularly Microsoft Azure. There would be a high surge in the next 1-2 years of the NHS moving from on-premise to Cloud services
Are you at the beginning of your Data Science and Analysis journey and feeling unsure about which programming language to choose between Python and R? Check out this thread (Python vs R debate) where I will clarify any confusion you may have.
Again, Data Analysis is not by how many softwares you can use for several data purposes. It’s about your level of proficiency in ensuring you can explore and use a system to its full potential in achieving any analytical exercise you desire.
Hey
@microsoft
, what do you think about this fun dashboard I created to display statistics & spot trends on
@LaLigaEN
21/22 league? This is me shooting my shot at being your latest Data Analyst intern. Twitter, please RT till my future employer
@microsoftUK
sees this. A thread!!!
Over the past week, I decided to spend my spare time focusing on Data Visualisation using
@NBA
Playoff conference as my database. I chose Power BI as my analytical tool for this project, and the most challenging task of this iterative process is the creation of a data warehouse.
@thenaijacarguy
I laughed so hard reading this. The screens are for more than data analysis. They are basically for doing many tasks across several systems then doing data integration to a data warehouse.
Why did it have to take this long before you satisfied our thirst and hunger for legendary Afropop. No lies but from Janurary to this present time, have heard no sounds better than “Low by
@LarryGaagazeen
ft
@wizkidayo
“.
#wizkid
#Nigeria
From being a Top boy in London to becoming the Wolf of Wall Street in New York City. I had an amazing vacation for 2022, thank you for having me New York. Now it’s about time to get back to the board as a Data Analyst and keep being the best version of myself.
Churning your way into diverse fields of Data Science and Analysis at the initial stage is just like preparing to climb the ladder of confusion. However, having a forte in one major field with a basic fundamental understanding of the rest makes the task super easy.
@oluwagentu
Bro. You don’t need to be afraid. Not at all. There’s definitely a starting point for everybody, time and chance makes the difference. In no time, you’ll surpass this.
8 months ago, I singlehandedly started the supervision of Stage Oil & Gas station as a Civil Engineer.
It's been a rollercoaster I must say, carrying out a project in the pandemic and also with
#endsars
protest here and there, challenging but we achieved it.
What more do you define as “LEGENDARY”,
@wizkidayo
stopped tweeting since January, and hardly would a week pass by without you seeing wizkid topping the trend chart of Twitter. Now that’s what I define as “LEGENDARY ACHEIVEMENT”🙌🏾
Data Science and Analysis enthusiasts, don’t procrastinate, take that course NOW, enrol for that program NOW, shoot that shot at that organisation NOW. THE TIME IS NOW!!!
I am a certified Civil Engineer who is proficient in the use of all kinds of construction softwares in designing architectural and structural buildings. It takes less than 0.5secs to retweet, my client might be on your timeline.
Grateful for how far I have come, and still grateful for how much milestones I’m yet to achieve. Cheers to many more prosperous years to come. HAPPY BIRTHDAY TO ME🎉
Data Science and Analysis enthusiasts, not all Data Science fields demands proficiency in programming skills. Dig deep into your area of comfort, and stop giving excuses. The time is NOW!!!
#DataScience
#DataAnalytics
@lovey_joan
You made a video of a victim who was suicidal at the moment, and then you went ahead to post this video while you revealed her identity (face). A big shame on you!!!
@I_pissVodka
Am a die hard fan of
@wizkidayo
but I must confess this music is less of his professionalism, it's called a single and not a freestyle. The choice of lyrics are just so poor that even an upcoming can do better.
I kept sending out applications and was being turned down until I came across a company that would stop at nothing to hire me. I choose to post this because I think it can inspire anyone interested in data science and analysis to come here and pursue a master's degree. (15)
Personal experience
I would strongly advise you learn SQL before kickstarting a learning curve in Python and progressing to R. You would get familiar with data definition, manipulation & aggregation tasks on SQL.Under no circumstance should you learn more than 1 at the same time
I am a CIVIL ENGINEER, it takes you 0.5sec to retweet this post. Please and Please kindly help with your retweet. My customer might be on your timeline🙏🏾🦅👷🏾♂️.
There will be a time you will need to perform on demand data science tasks on systems (mostly excel) of people that are not data inclined. You can’t replicate these skills you have from other tools if you don’t know how to use excel to its full potential. START RIGHT!!!
- Data cleaning: Identifying and correcting errors in the data, such as missing values, duplicates, outliers, or inconsistent formatting.
- Data integration: Combining data from multiple sources into a single dataset, resolving any inconsistencies or conflicts between them.
An additional skill which has shown great relevance in the field of Data Science & Analysis:
11. Cloud Computing: The ability to use cloud-based infrastructure and services, including knowledge of cloud providers such as AWS,Azure, GCP,and services such as EC2, S3, and BigQuery.
Currently as i tweet, all efforts has been made to know his whereabouts, we have contacted the nearest police station, and they have made the search a general assignments for all police stations around the 36 states in Nigeria. We are currently trying to track his mobile gadgets.
Just look at this. How on earth do we end up with people like this taking political positions. This is a disgrace not only to South Sudan but to Africa as a whole. We need that paradigm shift in our mode of governance.
South Sudan President peed on his body while commissioning a road. This is what you get when you choose unhealthy criminals over healthy and competent leaders. There’s a 90% chance of this happening to Tinubu if we don’t make the right choices. So Embarrassing!
Vote Peter Obi 📌
Again, during your Data Science and Analysis Journey, never cut corners. Don’t wait till you need a particular function in a tool before you learn it. How can you go on a Data Visualisation project without understanding the nitty gritty of Data Modelling? Be strategic!!!
How can you recommend SOÒLÈ as a movie to watch on Netflix? How?? Wasted my time watching this. I’m disappointed any grade of movie can get a pass for Netflix these days.
However, this is difficult as we don’t have his IMEI, thus we are waiting for the police force to obtain his IMEI from his mobile number, so we can know the last location he was seen.
1. Data Preprocessing skills: This is a very essential skill because raw data often contains errors, inconsistencies, or biases that can affect the validity and reliability of subsequent analysis or modelling. Data preprocessing typically involves several steps such as:
If you have been trusting God for anything in your life, hold on to your faith and rewatch Winepress 2023 services. You’ll see the manifestation of God’s power in your goals and aspirations.
@mrogonna
I earned a bachelor degree in Civil Engineering in 2018. I got introduced to Data Science and Analysis that same year by a friend. I started learning Data Science and Analysis from the basics using excel, and SQL. 2019, I got a data analysis job in NIgeria with paycom and this
@iamsteveolaa
@Joashtheprince7
Thank you pastor, now let's talk about how I can get through to the particular female in your congregation you are using as your dp😉
To all Data Science and Analysis enthusiasts, there’s no constant rule of thumb. There are tricks and hacks to make you see the bumps earlier for an easy manoeuvre as you embark on your journey. However, be sure to be YOU, know your STRENGTH and WEAKNESSES.
Acquiring knowledge about these skills is not enough; their practical application in your daily work is crucial. By incorporating these skills into your work, you can strengthen your CV, outsmart Applicant Tracking Systems (ATS) used by recruiters.
Japa this, Japa that. Regardless of where you go, or your citizen status, you’ll forever be treated like a second class citizen because you’re in another’s man land. There’s definitely no place like home. The time to put an end to impunity is NOW!!!
Navigating the vast array of skills required in the constantly evolving field of data science can be daunting. That's why I'm providing this guide to help adopt a straightforward yet highly effective approach that sets you apart from other applicants and scientists in this field.
Dear sir
@segalink
I would love if I am granted the ample opportunity of sending a message to your DM, it is very urgent sir, as I am in a state of emergency.
My DM is in a mess, I can’t answer all questions as much as I would love to. However, I will be posting Data science and analysis nuggets every day, and I’ll make sure I respond to all enquiries in the comment section. Thank you.
Here are the roadmaps:
1. Learn Excel for Data Science & Analysis: It's widely acknowledged that 90% of individuals who use Excel don't utilize its capabilities. It's important to understand the distinction between learning Excel & learning Excel specifically for data science.
2. Data visualisation skills: This is the ability to produce visual representations of data, enabling stakeholders to identify insights, discern trends and patterns, and make business decisions that can have a positive impact.
Tools: Excel, Power BI, R studio, Tableu, Qlikview.
- Data discretization: Dividing continuous data into discrete categories, such as grouping age ranges or income brackets.
Tools for Data Preprocessing: Microsoft Excel, Python (NumPy, Pandas, Matplotlib libraries), SQL, R studio(tidyr, janitor, and plyr packages).
There are 2 more learning stops to add in this descriptive roadmap. However, I will be stopping at 3 steps because I wouldn't want to bore readers. I'll be unveiling the rest steps in this roadmap in my next tweet this week. Thank you for reading through.
These days I’ve been making powerful impactful dashboards, with a little bit of UI and UX designs. That’s creativity at its peak. Seeing myself climb this ladder of growth is amazing.
Don't repeat my mistake - despite being on the cusp of having a Master’s degree in Data Science and proficient in various tools, I had to learn Excel for analysis. Learn from my experience and invest time in mastering essential tools early on.
- Data transformation: Converting data into a format suitable for analysis,such as normalizing or scaling numerical data, or encoding categorical data.
- Data reduction: Reducing the size of the dataset by removing irrelevant or redundant features,or sampling a subset of the data
Why is it important to have a roadmap?
- Clear understanding of the field: Data science & analysis is a multidisciplinary field encompassing statistics, machine learning, programming, & data visualization. It helps in understanding skills required for each domain, & how they fit
I can never forget the day I was on a bike in Mushin, the bike man was a Lord Chosen Man and he was wearing their vest. We were at Daleko junction when this man saw some “ÀYÉ” gang on foot while escorting a vehicle. In broad day light,these gang held pistols and policemen(thread)
Data Science and Analysis enthusiasts, there’s definitely no rule of thumb towards the learning path of Data science and analysis. However, don’t forget to start from the basics (Excel), and make sure you finish learning one analytical tool before moving on to another.
The greatest risk I’ve ever taken in my life is, making a career switch from Civil Engineering to being a Data Analyst. Do I regret this choice? NO!!! It’s the BEST decision I’ve ever made.
Four reasons why you should learn excel as your first tool:
- Versatility: Excel offers a wide range of functionalities & features used for data manipulation, wrangling, & analysis for beginners. It handles large data and perform statistical & mathematical calculations.
@Sethbertocarlos
I’ll be writing a thread about this every soon. Right bootcamp, course and YouTube video to watch for several data science and analysis skills.
Data Science and Analysis enthusiasts, the truth remains you have no business proceeding with learning queries and programming language for data analysis, if you don’t know the full functions and nitty gritty of Microsoft Excel.
@mrogonna
More time, more work, unrealistic dreams, crazy drive, and the GOD FACTOR. Let me end by saying this, before I had this Win, I had lots of rejections, if you check my tweets, you will see couple of shots I did shoot at potential organisations. Again, lots of rejections.
This is a very common misconception people tend to make.l have witnessed people creating multiple queries and using programming languages to execute various data manipulation tasks that could easily be accomplished in Excel without any hassle.
#Excel
#DataAnalysis
#Roadmap
Had time to go through my message request, and after reading tons of them, majority of it had the content of me being a mentor in Data Science and Analysis. As much as I’m honoured with this great task, I’ll have to humbly state that I don not have what it takes to be a mentor.
I have seen many types of data preprocessing, none beats the preprocessing functionalities provided by Azure Data Factory. This is mind blowing actually.
8. Machine learning: This is having the knowledge of machine learning techniques and algorithms, such as regression, clustering, decision trees, and neural networks, as well as experience with popular machine learning libraries such as scikit-learn and TensorFlow.