Success Stories

The project examines Nigeria’s GDP between Q1 2020 and Q3 2024. It looked at the quarterly trend within the different sectors of the economy first up to the Q1 2022, and with updated data, to Q3 2024. The most up-to-date GDP data was obtained from the National Bureau of Statistics website, normalized in excel and then transformed and added to the previous datasets in Power Query. Findings reveal that contrary to popular assumptions, agriculture and not oil is the main contributor to the nations GDP. Again we find that crop production contributed over 80% to the agriculture sector group in Q3 2024. This shows that the nation has moved away from its oil dependency. The seasonal nature of agriculture has meant that the GDP drops significantly in the first two quarters of every year, with steep rises during the last two quarters.

The project dataset looks at the human resources management of Zenith Tech. It looks at the staff strength, staff turnover and possible reasons for the turnover. It also examines issues such as the salaries being paid, performance scores and employee engagement in an attempt at unravelling the reason behind the plummeting morale among the employees. Findings include the facts that out of 311 staff employed from inception, over 100 (about one-third) have had their employment terminated. Age Groups 36-40, and 41-45 had the highest number of terminations. This coupled with the fact that terminations were highest for those seeking another position suggests that career prospects within Zenith Tech are not very exciting

After performing the initial project with GDP data between 2020 to 2022 first quarter, the result shows that Real Gross Domestic Product (GDP) decreased at an annual rate of -14.66% in Q1 2022, following an increased of 9.63% in the preceeding quarter. Also, against the same quarter last year, Real GDP was higher by 3.11%decreased. But when I included the GDP data from second quarter of 2022 to third quarter of 2024, the result shows that Real Gross Domestic Product (GDP) increased at an annual rate of 10.01% in Q3 2024, following an increased of 0.04% in the preceeding quarter. Also, against the same quarter last year, Real GDP was higher by 3.46%. This shows that the economy performed better in third 2024 compared to first quarter 2022.

The project gave me more clearer understanding of SQL and I got to practice with the questions that was asked.

I got to use and learn when and where to use the appropriate query for each of the questions.

It's a learning phase for me and I truly love the process.

I was able to create this table in PostgreSQL for more understanding and to be sure I give the correct queries. This helped me with more research and also to think outside the box.

I enjoy this process and looking forward to keep writing more queries as a prospective Data Analyst.

I enjoyed working on this project. It broadened my understanding of Power Query and also exposed my weaknesses. From data cleansing to merging tables and performing calculations like weekly commission and customer age, each task pushed me to think critically and troubleshoot issues methodically. I learned the importance of planning data flow and how a small misstep can affect the entire query. The experience helped solidify my confidence in transforming and analyzing data efficiently using Power Query. Overall, it was a rewarding experience that has sharpened my Excel skills and made me more comfortable with practical data tasks. thank you

Wow very intensive and comprehensive course. We all had our hands dirtied and I have learned so much about data normalization, cleaning, transformation and visualization in Power BI having had such a hands=on experience.. However, the course was also an eye opener to me that I still have a lot to learn about Power BI especially DAX functions. Our tutor handled it as if we were already master which to me wasn't good enough, although it was challenging and inspiring, How I wish we could still have access to the course videos or alternatively, recommended materials/channels we can always fall back to from time to time.A big thanks to the Resagratia team.

This project exposed me to data normalization process, i learnt something that seemed magical in the process( pivot/unpivot). through working on this data i have learnt to practically use DAX measures, functions and also learnt some of the various syntax used in creating tables and building data models as well as the importance of creating relationship between tables and linking them together for proper reflection on our visuals. i also realized that its possible to pullout data from Various sources, clean them and make very good predictions and conclusions out of it. from Excel, to powerbi, to visualizing the gdp data, i have ultimately understood the concept of GDP.

I'm really excited to share my final project for the Resagratia Data Analysis Bootcamp! It's been quite a journey transforming raw economic data from Excel Power Query into the dynamic Power BI visualizations you see here. Honestly, figuring out the nuances between real and nominal GDP, and finally getting that time-series data to sort perfectly, felt like solving a really satisfying puzzle.

This project isn't just about the numbers; it truly shows how much I've learned about digging into complex datasets and turning them into clear, actionable insights. I'm genuinely proud of what I've accomplished during this cohort and can't wait to apply these new skills out in the real world.

Hi Resagratia, I'm submitting my solved SQL project for the data analytics bootcamp. It's been quite a journey with Resagratia, and I've learned a ton about working with databases. This particular assignment was a fantastic challenge. Getting the data loaded and really wrapping my head around foreign key constraints was a huge win. Honestly, troubleshooting those import errors felt like solving a cool puzzle! I appreciate the practical application of SQL queries to solve real business questions and I'm super excited to start using these SQL skills out in the real world.

Thank you for a fantastic bootcamp experience!

Thank you for a fantastic bootcamp experience!

Wow! It's been a very demanding and rewarding journey. Glory to God I have been able to submit my project, now awaiting feedback from my tutor.

The lessons were very captivating and easy to understand though with some difficult aspect as well, talking about some calculated field stuffs. From the very first lesson all through to the very last one, I have enjoyed every bit of the ride even though the project was a bit of a hard nut to crack. Tableau is very optimized for data visualization that even a beginner with zero experience can fully grasp.

Thank you to the Resa Team for the good job they've done putting this resources together.

Hmmm! This was a very tasking and mentally demanding test for me. I almost gave up because it was as though there was no headway but finally, I was able to scale through it the best I could. I'm so happy that I did and I've learned so much dirtying my hands tackling the questions in the test. The knowledge gained was worth the time and efforts put in.

I will have to go back to the lesson videos on Excel text functions as well other calculations because there's so much to learn and practice from them. Mastering these courses requires repeated practice. Thank you Resa Team for putting this together.

This test was mentally challenging but worth the time and efforts exerted as it helped me get a better grasp of some of the excel functions I've learnt in the course of the bootcamp. For some of the questions, I had to use Google to refresh my knowledge while for some others, I had to put my brain to task. This test gave me a feel of a real work situation even though I know the pressure may not be the same as that of a real work situation.

Well done! I must commend the Resa team for putting together such a training package and I hope to make the most of it while I'm here.

WOW!!! What an incredible journey it has been studying Data Analytics at this amazing school—Resagratia!

I started as a complete novice, someone who had no idea what data truly meant or how it could be used. Today, I can confidently say I’ve acquired a solid foundation and a well-rounded skillset that qualifies me to proudly wear the title of Data Analyst.

This transformation would not have been possible without the visionary leadership of the school's founder, Mr. Tobi Williams, and his exceptional team.

I extend my heartfelt gratitude to all my tutors: Mr. Geovanni, Mr. Ahmed Oyelowo, Mr. John Analoh, Mr. Taiwo Adegbite, and Ms. Adekunle Rihannat. Your dedication and teaching made a lasting impact on my growth.

A special thanks to my ever-supportive and motivational TA, Mr. Sobowale Daniel—your check-in call was a game-changer.

The Capstone Project was eye-opening, enriching, and truly made me feel like the newest Data Analyst in town! 😄

Thank you, Resagratia. Thank you, Mr. Tobi.

I felt more confident with this project, in comparison with my first (the Group project), and as a result I enjoyed it more.

Starting with a raw dataset that included sales, order, product, shipping, and geographic information, I learned how to design a clean and efficient data model by creating dimension tables and building the right relationships between them.

One of the first key lessons I applied was the importance of removing duplicates when creating lookup tables (such as for Products and Countries) to enable accurate one-to-many relationships. I also understood how to properly use a Date table for time-based analysis — a crucial step for enabling calculations like year-over-year (YoY) comparisons.

The new learning point for me, thanks to this project was calculating shipping time by creating a calculated column to measure the difference in days between order and shipping dates — at first my values were wrong when applied on the bar chart, but I learned how to troubleshoot and resolve (by relooking at aggregations).

My love for storytelling, has found a new tool data and I'm grateful for everything I’ve learned & look forward to continous practice and the opportunity to apply my skills in a real work setting.

Thank you Resagratia 💙. The journey was worth it.

At first, diving into Power BI felt intimidating, but true to the Resagratia spirit, the challenge pushed me to grow in ways I needed to.

One of the key lessons came from an error I encountered after renaming the data sheets, which caused the tables to have an error & the applied steps to break. Instead of starting over, I took the time to understand how Power BI links data sources, with the help of AI. I figured out a workaround and managed to reconnect the data and bring the dashboard back to life.

This experience reminded me that problem-solving is at the heart of data work. It’s not just about getting the visuals right, but about understanding the relationships beneath the surface. More importantly, I learned to stay patient, dig deeper, and keep going even when things break.

By the end of the case study, I not only had a working dashboard—I had a stronger grasp of Power BI, a deeper confidence in my analytical skills, and a real sense of accomplishment.

Working on the Sera-Growth-Analysis project was a great experience. I spent a lot of time looking into payment trends, how people use subscriptions, and how to make sense of data. I focused on the "Sales_Data" dataset, where I used SQL to clean and change the data, built easy-to-read Excel dashboards, and used Pivot Tables and charts to study user activity. Some tasks, like changing text dates into real timestamps and linking transactions to subscriptions, were tricky, but fun, and helped me improve my skills. I enjoyed finding patterns, like how subscription rates increased as the number of transactions grew. This project was a mix of research and creativity, and I’m proud of the useful insights I was able to deliver.

The GDP Analysis Project was extremely challenging. I had a lot of issues refreshing with the new data and other aspects. My original visualizations were modified after refreshing. Overall, it helped me build more confidence regarding my data analysis skills so far.

As I highlighted in the "Forecasting" sheet, my recommendations are as follows:

-Boost productivity

Provide high-yield seeds, fertilizers, and farm equipment.

Expand irrigation to reduce reliance on rainfall.

-Strengthen Infrastructure

Improve rural roads and storage facilities to reduce losses.

Expand rural electrification for processing and irrigation.

-Enhance Resilience

Promote drought-resistant crops and sustainable land use.

Implement early warning systems for weather and pests.

Encourage crop insurance and access to affordable credit.

-Support Markets and Policy

Improve farmer access to markets and digital platforms.

Develop agro-processing to add value and reduce waste.

Ensure stable, supportive agricultural policies and secure land rights.

These focused actions can help stabilize and grow the agricultural sector, supporting overall GDP growth.

GDP Sectoral Trend Analysis and Forecasting Report

A review of Nigeria’s quarterly real Gross Domestic Product (GDP) data reveals that the agriculture sector, and more specifically the crop production sub-sector, has consistently been the largest contributor to the country’s GDP. However, recent data from Q1 2024 highlights a notable decline in total GDP, with a significant portion of the drop attributable to reduced output in the agriculture sector.

This report explores the observable trends in GDP, identifies patterns and potential causes of the recent decline in crop production, and offers practical recommendations to address the issue. It also provides a short-term projection for GDP performance in the next quarter.

Trend and Pattern Identification

1. Analysis of the Power BI dashboard, which visualizes GDP from Q1 2020 to Q1 2024 by sector, reveals the following key patterns:
2. Agriculture consistently contributes the most to real GDP, followed by manufacturing and trade sectors.
3. There is a seasonal pattern where GDP tends to dip in Q1 of each year, which aligns with the post-harvest period and dry farming season.
4. The decline in Q1 2024 is steeper compared to previous Q1 periods, indicating that additional structural or environmental shocks may have compounded the seasonal effect.

These patterns suggest that while agriculture remains a stronghold of the economy, its performance is vulnerable to climatic, economic, and security conditions, especially in the crop production segment.

Likely Causes of the GDP Drop in Crop Production

Several interrelated factors are likely responsible for the recent downturn in crop output:

1. Climate Variability: Unpredictable rainfall patterns and shorter wet seasons may have disrupted planting and harvesting cycles.
2. Insecurity in Rural Areas: Armed conflicts and banditry in key agricultural states such as Kaduna, Benue, and Zamfara have displaced farmers and disrupted farming activities.
3. Soaring Input Costs: Inflation and currency depreciation have led to increased prices for fertilizers, seeds, and mechanized tools, discouraging large-scale production.
4. Poor Irrigation Infrastructure: Over-reliance on rain-fed agriculture makes production vulnerable to seasonal droughts, especially in Q1.
5. Limited Access to Finance: Many smallholder farmers lack access to affordable credit, limiting their ability to invest in high-yield practices and post-harvest storage.

Recommendations to Address the Issue

1. To mitigate future GDP volatility linked to agriculture, especially crop production, the following strategies are recommended:
2. Investment in Irrigation Infrastructure: Expanding irrigation coverage can help reduce dependence on rainfall and enable year-round farming.
3. Rural Security Initiatives: Establish community policing frameworks and agro-ranger programs to protect farmlands and farming communities.
4. Input Subsidy Schemes: Strengthen public-private partnerships to make seeds, fertilizers, and farm equipment affordable and accessible.
5. Agricultural Insurance Expansion: Support crop insurance schemes that can cushion farmers against weather shocks and encourage continuous investment.
6. Improved Storage and Logistics: Build storage facilities and upgrade rural roads to reduce post-harvest losses and enhance market access. 

This Power BI project was an insightful experience that helped me understand the basics of data visualization and reporting. I followed the instructor closely and was able to build this GDP dashboard with guidance. Although I found the update task challenging and was not able to complete it on my own, I learned a lot about how to structure a report and interpret data. The bootcamp gave me a foundational understanding of how to clean data, build reports, and draw insights. I look forward to improving with more practice and eventually creating more advanced dashboards on my own. I hope to get better and do more

Working on the Sera Ltd subscription analysis project provided a holistic view of customer payment patterns and retention dynamics. By transforming raw transaction records into structured fact and dimension tables, we uncovered monthly revenue trends in NGN and USD, identified peak revenue periods, and visualized subscriber growth month-over-month. The geo-mapping of payment attempts illuminated geographic hotspots, while the channel, card type, and bank breakdown highlighted friction and success points in the payment flow. Analyzing user activity revealed that multiple transaction attempts significantly boost subscription likelihood, guiding targeted engagement. Overall, this end-to-end exercise from SQL modeling to dashboard design demonstrates the power of actionable data-driven insights for strategic decision-making and continuous operational optimization.

This project has been a very insightful and highly tasking experience, filled with different dynamics that thoroughly test the fundamentals of data analytics. It provides the vibe and feel of handling a real-life project, making the journey both exciting and rewarding. I sincerely commend the entire Resagratia team for drafting such a beautiful and intellectually stimulating piece. To my tutor, I extend my deepest gratitude for being an essential part of my growth and learning journey. I also wish to specially appreciate my teaching assistant, Mr. Daniel Sobowale, for his constant support, timely feedback, regular check-ins, and words of encouragement. Thank you all!

This GDP analysis Dashboard project was an insightful and quite interesting project to follow through and learn alongside. From the introduction to the data transformation in excel to data transformation in power bi and power query, to analysis and visualization in power bi, all packed with their sub tutorials, the learning journey was all worth it. At first, navigating the data sets and transforming the data, especially creating date tables into meaningful visuals was a little bit overwhelming. I learned how to clean data from scratch, create complex measures and formulas with DAX, and design a user-friendly layout that clearly communicates economic trends highlighting where there was an increase or a decrease in GDP. Despite the hurdles, I embraced each challenge as a learning opportunity. With patience, persistence, and interest, I saw my dashboard come to life, visually telling a story behind all the initial data. I truly enjoyed the process and felt a strong sense of accomplishment.

While working on my first GDP project, I realized I had not named my file correctly, which is why I am re-uploading it now. During my capstone project, I encountered a major challenge when trying to update my file in Power BI. I struggled for a while and felt stuck, completely forgetting that I could simply make the changes in Excel and then refresh the data in Power BI. Remembering that important lesson helped me move forward and successfully complete the project. I am very grateful for all the knowledge I have gained so far. Every challenge has taught me something new, and I am excited to keep building on what I’ve learned. This journey has truly been rewarding.

This project truly put my skills to the test. There were times I felt overwhelmed and almost gave up, but I’m proud that I completed it. The final question was especially challenging. I struggled with updating my GDP table in Power BI until I recalled a mentorship session with Mr. Tobi, where he taught us about updating data through Excel. That knowledge turned everything around for me. Completing this project wasn’t easy, but it was extremely rewarding. It reinforced how important perseverance and continuous learning are. Overall, it was a very interesting and valuable experience. I am excited to create more dashboards.

Though not as challenging as PowerBI 😊, the test turned out to be one challenging at the beginning, but very rewarding and exciting as I progressed with the questions.

The test required not just technical proficiency, but also a strategic mindset in presenting data in a way that tells a clear, compelling story. What made it particularly interesting was the hands-on nature of the exercise: working with real datasets, selecting the right visualizations, and making sense of patterns hidden within the numbers. It tested my ability to think critically, interpret trends, and draw actionable insights — all under time pressure.

Although it was tough, I genuinely enjoyed the challenge. It reinforced my appreciation for the power of data visualization in decision-making and showed me how much I’ve grown in using Tableau to turn raw data into something meaningful.

This experience has motivated me to continue sharpening my skills in analytics and visualization, and I’m excited to keep building on this foundation as I move forward in the course.

This project does a great job of breaking down key business metrics using SQL. It looks at things like how orders are spread across cities, how much food partners contribute, delivery times, and customer spending habits. The approach is solid, and the queries make sense for answering the business questions.

I’d say I understood about 80% of it, but I had to do some research—especially when it came to calculating shares and optimizing queries for better efficiency. Learning more about JOINs, GROUP BY, and conditional aggregations helped a lot.

If I were to take this further, I’d look into trends over time, customer retention, or which stores bring in the most profit. Overall, it was a solid learning experience!

Challenging, but very great practice. I had a lot of fun doing the challenge.

Most challenging was output 1-6. 

The test covered various functions was a tough but rewarding challenge. It covered a range of essential topics, testing both theoretical understanding and practical application. The exam focused on formulas and functions such as SUM, AVERAGE, VLOOKUP, HLOOKUP, INDEX-MATCH, and IF statements.

Advanced functions such as nested IFs, COUNTIF, and SUMIF were tested, along with logical functions and data visualization through charts. While some questions were straightforward, others required deeper problem-solving skills, especially when dealing with nested functions and data analysis tasks.

Overall, the test was a great way to gauge my Excel proficiency and identify areas for improvement. Looking forward to mastering more complex functions in the next phase. 🚀

It was both challenging and insightful. I felt like I was working on a real-world data analysis project, exploring different approaches to solve the questions. It was an exciting experience that gave me a glimpse into the field, reinforcing my passion for becoming a skilled data analyst. The process had a cool vibe, making me even more eager to improve. Every challenge is a step toward growth, and we keep pushing to get better.

Thank you Mr Tobi for coming up with this beautiful initiative to enlighten the younger generation.

Thank you Mr Geovanni Ubah for the beautiful impactful lectures.

Thanks, Resagratia!

Working on the sales data analysis project was really really challenging, especially when it came to using certain excel formulas. I really struggled with this and also with applying a specific formula which prevented me from completing some parts of the analysis. Despite my efforts to understand it, I found the commission calculation particularly difficult and confusing. However, the experience made me realize the importance of understanding excel formulas for accurate data analysis. I have realized that i really need to improve my excel skills and gain a better understanding of complex formulas to handle similar tasks more effectively. Thank you

It took me a while before I could answer task 1, the question looked very challenging but then I remembered we were thought the LOOKUP function and Excel Calculations in Week 2 and week 1 respectively, so I had to go back to rejog my memory.

Task 4 on the other hand, I still don't know what the question required of me although I answered it to the best of my ability.

What surprised me the most is that these Task was to be completed under an hour but it took me days. I love attempting these test because it challenges me to learn more.

This project was a great learning experience. I got to work with Google Sheets, applying different data analysis techniques like filtering, sorting, pivot tables, and VLOOKUP. One of the trickiest parts was making sure the filtered data stayed accurate, especially when working with Actual Pick Rate and damages. I also used the formula bar to make my work easier and automate certain tasks. At times, structuring the data felt a bit overwhelming, but once everything came together, it was satisfying to see clear insights. Overall, this project helped me get more comfortable handling large datasets, improving my problem-solving skills, refining my analytical thinking, and making better data-driven decisions.

This project has been a real journey—equal parts exciting, challenging, and enlightening! As a newbie to the world of data analysis, I initially found myself overwhelmed by the seemingly endless possibilities and functions. From formulas that refused to cooperate to pivot tables that tested my patience, every step came with a new learning curve. But slowly, with lots of trial and error (and a few tutorials and asking questions from my mentor), things started to click. It’s truly amazing how a well-placed formula or a neatly structured table can transform a chaotic dataset into something meaningful and insightful.

There were moments of frustration, but those were balanced by small wins—like finally figuring out that tricky COUNTIF, COUNTIFS etc. This experience has not only improved my technical skills but also built my confidence in Excel sheet. While it may not be perfect, I’m proud of what I’ve accomplished as an aspiring analyst.

I hope the markers will see the effort, growth, and determination behind this project and appreciate it for what it is—a first step on a much bigger learning journey. Thank you for your patience and support.

This was a great project to work on. I liked that it incorporated so many topics that were taught during the Google Sheets lessons. It was really good practice of the lessons I have learned over time while learning Google Sheets. From basic functions, formulas, data validation, lookups, filtering, sorting, pivot tables, and pivot charts.

Resagratia team, please consider reducing the number of required words before a project can be submitted. I struggle to find 100 words to write as a comment after each project. It is a bit discouraging for me. Sometimes, it takes me hours to be able to write something tangible that will meet the required number.

The challenge showed me the importance of following instructions aside having to calculate. Also reasoning is also important. I can remember asking where can i see "Sabi Squad" well! i figured it out. This is an opportunity for me to improving my business and data knowledge through the Data Analytics Bootcamp. So far the Bootcamp have been engaging and i always look forward to complete the next quizzes, assuring my progression. I see myself a Data Analyst in few months to come..I am engaged and interested in advancing my knowledge further using Resagratia's platform. Thank you for your time and the opportunity. Adeola.

Nigeria’s Gross Domestic Product (GDP) grew by 3.46% (year-on-year) in real terms in the third quarter of 2024. This growth rate is higher than the 2.54% recorded in the third quarter of 2023 and higher than the second quarter of 2024 growth of 3.19%. 

Real gross Domestic Product (GDP) increased at an annual rate of 10.01% in Q3 2024, following an increase of 0.04% in the preceding quarter.

The growth in Real GDP was largely due to the Agriculture sector which grew by 1.14% (year-on-year) in real terms contributing 28.65% to overall GDP in real terms in Q3 2024, lower than the contribution in the third quarter of 2023.

Working on this project has significantly deepened my understanding of Tableau. Initially, my knowledge was limited, but as I delved into creating visualizations and analyzing data, I became proficient in designing dashboards, using advanced calculations, and leveraging Tableau's interactive features. I learned how to clean and connect datasets, craft insightful visual representations, and tailor outputs to convey meaningful insights effectively. Doing this project independently allowed me to explore Tableau’s vast potential and troubleshoot challenges, which enhanced my confidence and analytical skills. This hands-on experience has not only strengthened my technical abilities but also cultivated a deeper appreciation for data visualization.

Working on this project has given me valuable insight into my weak areas, allowing me to identify specific topics that I need to focus on more. For example, I encountered some challenges with Num3, and I noticed that my solution for Num1 regarding the total number of solar TVs was incorrect. These areas will require more practice and review.

I plan to take the upcoming break to go over the course materials again and revisit the classes to strengthen my understanding. Google has been a helpful resource in supporting my learning, but I realize I need to invest more time in fully grasping the concepts.

Overall, this experience has been a learning opportunity, and I am determined to improve during the break.

I was easily able to clean and normalize the excel data, though it was a bit difficult for me to input the 2024 data into the existing power query.

Policy changes should be made or investments even to increase production in the economy.

This project shows how important power bi is needed, it’s ability to merge different datasets and also bringing diverse visualizations in the way data can be presented and at the same time providing deep insights into issues concerning the data. I was able to uncover what I may think is the underlying cause of the drop in production.

A different strategy or approach should to be taken for economic development

It was quite challenging, but I am very grateful to be a part of this boot camp. I would like to request feedback and corrections on the project so I can learn from my mistakes and improve. I'm quite certain that I made a few errors and would greatly appreciate the opportunity to correct them. Unfortunately, I can't submit it yet because the minimum word count is 100, and I've already expressed everything on my mind. So here I am, trying to extend my thoughts to meet the requirement and reach the 100-word mark! Thank you thank you thank you

I would say a major reason for the crisis is employee absences. Majority of the absences in the company are from departments that major roles in the growth, productivity and profitability of the company.

Also, the difference in the salary of the executive office and other departments is quite high. Understandably, it’s a lot of work to oversee and manage an entire company, it would still be advisable to look into it and maybe increase the salary of other departments or give some sort of incentives that would motivate them.

I was able to explore different options of presenting data.

Although I made some mistakes, I was able to learn new things from the mistakes I made, and I may prefer tableau to other tools when it comes to visualization and presentation.

The project was both interesting and challenging, but ultimately, it was a rich and rewarding experience. I had the opportunity to apply many of the skills taught in the instructional videos, and I am genuinely proud of what I accomplished. The most challenging aspect was formatting the slicer; it took me a lot of time and effort to figure it out. I think I ended up creating around 10 pivot tables before I finally got it right. Overall, the exercise was a valuable learning experience that has prepared me for even more complex tasks ahead, especially when working with Google Sheets.

Really had fun with this project, it improved my thinking of data analysis, This is really a good one from the resa team

opened to more learning and getting better with every tool and having the mindset of a data analyst or thinking like a data analyst.

Learning is the process of acquiring knowledge, skills, or understanding through experience, study, or teaching. It can happen in various forms, such as formal education, self-study, or hands-on experience. Effective learning involves critical thinking, problem-solving, and applying what is learned in real-life situations. It encourages curiosity, adaptability, and personal growth. Continuous learning is essential for personal and professional development, allowing individuals to stay updated with changing technologies and evolving knowledge. Embracing different learning methods, from reading to interactive learning, enriches the learning experience and helps achieve long-term success and fulfillment.

My name is Alonge Adedotun, This is an extensive analysis and pictorial view of the incidents in Sutton year(2015-2018). The analysis show the pictorial view of the age groups and incident types, pivot table that show the summary of the dataset provided. The incident date is grouped quarterly in the pivot table. The analysis shows the highest number of incidents that occurred in Sutton is Slip Trip Fall with 46.6% and the lowest incident is Activity Incident Event with 1%. Quarter 1 and Quarter 2 has the highest reported incidents. The analysis also shows that the adult with 54.9% has the highest number of the occurrences in the dataset provided.

Mysellar Global Stores was quite the project! Wow, wow, wow. But It's been quite an eye-opening experience, and I'm excited to explore more. 

On a separate note, I'm still getting familiar with GitHub - it's a lot to take in, but I'm determined to master it. Baby steps, right?

Thankfully, the Christmas holiday is here so I can get a lot of practice in among festivities and whatnot.

On a brighter note, I'm thrilled to be wrapping up my Data Analysis class! It's been an incredible journey, and I'm grateful for the knowledge and skills gained. Thanks for being part of my learning journey! Looking forward to sharing more discoveries and progress.

I enjoyed my time on Resagratia. It was tasking as I had quite a handful of engagements but hey! I was successful and now we're at the penultimate chapter. This particular topic on GDP was interesting to me because it's something I can myself making reference to regardless of career path. 

I hope the tech world is also as fun and as colorful as what we're exposed to. It's nice to know I bring some data analysis into healthcare. I await corrections where I'm lacking and thankful for your feedback as per usual. Hopefully, my work does not disappoint, heh. Thats all for now.

The course has really given better understanding of so many excel formulas I struggled with in the past and I know there's more to learn and that makes me really excited. I Know I can do better for this particular project, but I don't really understand the question. I would appreciate an explanation to better understand in the next project. The lesson were clear and very understandable. I don't know when to use what chart for what as that still confuses me.

Here are a few questions I would like to ask:

1. Would there be corrections sent for the project?
2. Are there going to be group project?
3. Is there like a WhatsApp/Telegram group for students to interact with themselves outside discord?

Looking forward to my learning schedule for week two and also doing better in my project.

I thoroughly had loads of fun doing this project and creating the Github repository.

It has been an amazing journey, and I am super excited for the

knowledge, techniques, and skills I have acquired

On this capstone project, I decided to use Tableau to analyze

and visualize the data. I chose Tableau for its beautiful, user-friendly

interface and its flexible and comprehensive dashboard. Seeing the charts all

come together in a way told a good story of the data was wonderful.

The value of the bootcamp exceeded its cost by far. I am thrilled

as I look forward to more analyzing and visualizations of data.

Thank you, Resagratia!

The project submission for the project on sales data for the devices sold in Lagos region over a given period of time.

The project actually allows one to practically face a real data challenge and then allows the person to exercise and test his knowledge of the various excel formulas and applications.

Thanks for including it as part of the syllables. These kind of tests can help to sharpen and enhance a learners skills on the subject areas that have been taught or covered.

I am sorry for the late submission due to my busy schedule. I regret all inconveniences caused by this.

Exciting project, it was very engaging and i enjoyed every bit of it. It was nice to use knowledge from other topics for this project because i feel like it refreshed my memory on that topic. It was also interesting to see the application of what i learned come into practice. With every thing that has been taught i am sure that i can tackle the issues that any data analyst role throws at me. I did have some issues along the way but they were handled effectively. This powerful data visualization tool enhanced my analytical skills and gave me the ability to turn raw data into insightful, interactive dashboards. I enjoyed exploring real-world scenarios and learning to present data in visually appealing ways that facilitate better decision-making. Mastering Power BI not only improved my technical expertise but also boosted my confidence in delivering data-driven insights effectively. Thank you for everything that has been taught to me.

This project was very insightful and really refreshed my memory on excel formulas, functions, Pivot tables and charts as well as pivot dashboard.

It helped me in researching on how to use functions to calculate dates (months and years), previous and present dates in relation to the project's timeframe/scope.

The Lookup functions were required in solving the tasks which also brought back fresh memory on how to use them.

Even though the task did not require us creating a dashboard, I decided to create one in order to put to use some of the skills learnt so far. This greatly helped to discover some tools within the pivot charts which I have not used before now.

On a broader view, this exercise, to a certain extent, gave me an insight into what I should be expecting in the real world of Data Analyst.