#100daysofdataanalysis search results
Day 5✅ — just showing up and learning Data Analysis #100daysofdataanalysis Today, I worked on a SALES REPORT and learnt Text to Columns, IF and SUMIF formulas, sorting, filtering, Pivot Tables, and pie charts. I spent more time learning than usual, but it was worth it
Day 4✅ — just showing up and learning Data Analysis #100daysofdataanalysis Today’s assessment was about creating a Decision Maker to choose a job based on pay, job market, enjoyment, talent, and schooling. I enjoyed it because it felt personal
Day 15 of Data Analysis Challenge. Learning doesn't stop because there isn't laptop to practice. Keep the momentum high #kehindeadekola #100daysofdataanalysis
Day 2✅ — just showing up and learning Data Analysis #100daysofdataanalysis Continued from where I stopped in Excel~ yesterday’s payroll assignment. I learnt how and when to use the IF formula, and also explored relative vs. absolute cell referencing, which I applied in my work
A spreadsheet isn’t just rows and columns. It’s a storybook of: Sales trends Spending habits Growth signals Good analysts don’t just see numbers. They uncover stories in the data. #100DaysOfDataAnalysis #DataDriven
Data ≠ Decisions. The real challenge isn’t collecting or analyzing data. It’s turning insights into clear actions. Great analysts don’t just crunch numbers. They bridge the gap between data and decisions. #100DaysOfDataAnalysis #DataDriven #DecisionMaking
Been busy with formulas and functions of data analysis, combine with work the stress no be here but hey who's counting. #100daysofdataanalysis #datacleaning2025 #pythonlearning #PYTHON
23days ago I started #100DaysOfDataAnalysis and I intended to publicly journal my learning journey here daily but while I've being doing the learning I've not been sharing my journey. So, I've decided to start this journey again!
Hi Hi #datafam Starting my #100DaysOfDataAnalysis today and will be completing my 100th day on my birthday🥰So cheers to 99days of consistency ahead. #datafam #DataAnalytics
Hi Hi #datafam Day2/100 of #100DaysOfDataAnalysis Learnt the difference between Data science and Data Analytics Key takeaway: Consistency matters
DATA CLEANING Today, I received business files to clean. As a business analyst aiming to a business, option is elicitation. However, my data analysis mindset tells me to simply analyze, clean, and them back. #100daysofdataanalysis #datacleaning2025 #pythonlearning #PYTHON
Day 19 #100DaysofDataAnalysis Once you are clear with business understanding, the next step is to try understanding the data. You are hired to add business value as a data analyst. Understanding data is very important because you need to know the various touchpoints in context.
Day 21 #100DaysofDataAnalysis What if you have already collected the data? It could be in any format but what matters is data. Once the data is collected the next step is Data Preparation, that is - converting the data like unstructured data to structured data.
Day 20 #100DaysofDataAnalysis Data collection is the part where we try to understand what type of data to collect and from where to collect. Data Analysts directly go to teams to ask for access to databases; if not, they ask for a dump of data.
Day 11 #100DaysOfDataAnalysis And to the subject matter proper: Data Analytics is simply analysing data and gaining some insights from it. Data Analysis helps businesses optimise their performances, perform more efficiently, maximise profit or make some strategic decisions.
Day 7✅ — just showing up and learning Data Analysis #100daysofdataanalysis Just like I mentioned yesterday, I’m working on a car database where I had to download a car inventory text file online. That part actually took me a while, but I eventually found a good one.
What is data cleaning? Encoding Categorical Variables: Convert categorical data into numerical format using techniques like one-hot encoding or label encoding is also in alignment with data cleaning. #100daysofdataanalysis #datacleaning2025 #pythonlearning #PYTHON
Hi Hi #datafam Starting my #100DaysOfDataAnalysis today and will be completing my 100th day on my birthday🥰So cheers to 99days of consistency ahead. #datafam #DataAnalytics
day 6 the combination of index and match is the lookup tool of choice for experienced excel users. index and match is a substitute of vlookup. #100daysofDataAnalysis
Day 21 #100DaysofDataAnalysis What if you have already collected the data? It could be in any format but what matters is data. Once the data is collected the next step is Data Preparation, that is - converting the data like unstructured data to structured data.
Day 20 #100DaysofDataAnalysis Data collection is the part where we try to understand what type of data to collect and from where to collect. Data Analysts directly go to teams to ask for access to databases; if not, they ask for a dump of data.
Day 19 #100DaysofDataAnalysis Once you are clear with business understanding, the next step is to try understanding the data. You are hired to add business value as a data analyst. Understanding data is very important because you need to know the various touchpoints in context.
Day 7✅ — just showing up and learning Data Analysis #100daysofdataanalysis Just like I mentioned yesterday, I’m working on a car database where I had to download a car inventory text file online. That part actually took me a while, but I eventually found a good one.
Day 6✅ — just showing up and learning Data Analysis #100daysofdataanalysis Today’s been such a long, busy day, and honestly I was too tired to take much class class. But consistency matters, so I still went through my next project — Car Database.
Day 5✅ — just showing up and learning Data Analysis #100daysofdataanalysis Today, I worked on a SALES REPORT and learnt Text to Columns, IF and SUMIF formulas, sorting, filtering, Pivot Tables, and pie charts. I spent more time learning than usual, but it was worth it
Day 4✅ — just showing up and learning Data Analysis #100daysofdataanalysis Today’s assessment was about creating a Decision Maker to choose a job based on pay, job market, enjoyment, talent, and schooling. I enjoyed it because it felt personal
23days ago I started #100DaysOfDataAnalysis and I intended to publicly journal my learning journey here daily but while I've being doing the learning I've not been sharing my journey. So, I've decided to start this journey again!
Hi Hi #datafam Starting my #100DaysOfDataAnalysis today and will be completing my 100th day on my birthday🥰So cheers to 99days of consistency ahead. #datafam #DataAnalytics
Day 18 #100DaysOfDataAnalysis Then comes evaluating the model, how the model has performed. We find out how the models are performing well or not. And finally we deploy. It's always better to learn all the different steps.
Day 17 #100DaysofDataAnalysis Then comes Modelling as next in steps to obtain a data analytics solution. Modelling simply means building a model. It could be a predictive model that does some predictions. Or a descriptive model that provides insights.
Day 16 #100DaysOfDataAnalysis Data understanding simply means what is the data about? How many columns, features; rows do we have, etc.? After that Data Preparation is very important. It is where we convert unstructured data to structured data that can easily be analysed.
Day 15 #100DaysOfDataAnalysis Steps to obtain solutions to our data analysis problem. The first is always understanding the problem. How do we get the business understanding in the first place? Example - reading more blogs. After business understanding comes data understanding.
Day 14 #100DaysOfDataAnalysis Two types of methods that are used in analysing data are descriptive statistics and inferential statistics. Certain topics under descriptive statistics, to be studied in the future, are Measure of Central tendencies and Measure of Veriability.
Day 13 #100DaysOfDataAnalysis In practice, statistics is the idea that we can learn the properties of large sets of objects or events by studying the characteristics of a smaller number of similar objects or events as sample because in many cases gathering data is impossible.
Day 12 #100DaysOfDataAnalysis We learned about types of data. Qualitative Vs Quantitative data. That is Categorical and Numerical. Under Qualitative there's two major ones - Nominal and Ordinal. Two major types of Quantitative data are discrete and continuous.
Hi Hi #datafam Day2/100 of #100DaysOfDataAnalysis Learnt the difference between Data science and Data Analytics Key takeaway: Consistency matters
Hi Hi #datafam Starting my #100DaysOfDataAnalysis today and will be completing my 100th day on my birthday🥰So cheers to 99days of consistency ahead. #datafam #DataAnalytics
Day 5✅ — just showing up and learning Data Analysis #100daysofdataanalysis Today, I worked on a SALES REPORT and learnt Text to Columns, IF and SUMIF formulas, sorting, filtering, Pivot Tables, and pie charts. I spent more time learning than usual, but it was worth it
Day 4✅ — just showing up and learning Data Analysis #100daysofdataanalysis Today’s assessment was about creating a Decision Maker to choose a job based on pay, job market, enjoyment, talent, and schooling. I enjoyed it because it felt personal
Day 15 of Data Analysis Challenge. Learning doesn't stop because there isn't laptop to practice. Keep the momentum high #kehindeadekola #100daysofdataanalysis
#100DaysOfDataAnalysis SPSS done today. laptop nearly shame me but Mercy said No. Learnt Frequency distribution.
Day 15: Finesse SQL capstone project and an Excel project in pivot tables and charts. The dashboard for the excel file is the attached picture. #100DaysofDataAnalysis #100DaysOfCode #DataAnalytics #Excelsior #DataManagement #tecktwitter #WomeninTech #WomenInSTEM #WomenWhoCode
Day 2✅ — just showing up and learning Data Analysis #100daysofdataanalysis Continued from where I stopped in Excel~ yesterday’s payroll assignment. I learnt how and when to use the IF formula, and also explored relative vs. absolute cell referencing, which I applied in my work
Day 100:Today marks the wrap-up of my 100 days of Data Analytics challenge. Notwithstanding the time off in between, I still actualize my goal of becoming a certified Google Data Analyst to the Glory of God🙏🏻🙏🏻🙏🏻 #100daysofDataAnalysis #100daysofcodechallenge #DataScience #Google
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