Moyinoluwa Ánòmá, ACIPM.
@moyinoluwaanoma
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Building @WomenInDataAfri | Bookworm | Data Nerd @BloombergUK
London, England
Joined October 2018
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Learn Data Analytics for free with these resources:
📊 1. Excel:
📊 2. Tableau:
📊 3. PowerBi:
📊 4. SQL:
📊 5. Python:
I hope these help, ✨.
#datanerd
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🥳.
I got one of my dream jobs.
Super excited to share that I have joined
@BloombergUK
Global Data Analytics Team as a Data Analyst.
Looking forward to the best time, 🚀.
#data
#WiDAWins
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Celebrating one year
@BloombergUK
🎉🥳.
🥳.
I got one of my dream jobs.
Super excited to share that I have joined
@BloombergUK
Global Data Analytics Team as a Data Analyst.
Looking forward to the best time, 🚀.
#data
#WiDAWins
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I am celebrating one year
@BloombergUK
today, 🎉.
I am celebrating all my wins, growth, achievements, shortcomings, mistakes and everything between. I am genuinely excited and looking forward to what the next year holds, 🥺🥳🎉.
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Playing “Sunshine” by Mr. Money Asake, ☘️.
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Build Your Portfolio: Guided Data Projects on YouTube for Data Analysts.👇🏾
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Free Excel Resources to become a Data Analyst:
1. 📈Excel Data Analytics Full Course:
2. 📈Excel Tutorials for Data Analysts:
3. 📈Practise Excel:
4. 📈Excel Project Recommendation:
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If you want to become a data analyst in 2024 but you don’t know where to start or what to learn or you are finding it difficult to find resources?
I gat you.
Check out this free amazing resources sheet I have collated for you:
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Data Books you should check out if you’d like to become a Data Scientist:
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🚀.
I planned and hosted my first Bloomberg
#bloomberg
meetup.
Cheers to absolutely more, ✨.
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Free SQL Resources to become a Data Analyst. Includes a project recommendation you can work on:
1. 📈Introduction to SQL:
2. 📈SQL for Data Analysts and Scientists:
3. 📈SQL Project Recommendation:
#SQL
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Data Books you should check out if you’d like to become a Data Analyst👇🏾:
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CV Template for a Data Analyst 📈📉.
P.s: this is a template. It should be edited for the specific role you are applying for.
Great success in your application ✨.
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Yayyy to my first of many Basketball games, 🏀🤞🏾.
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My DA stack and where I learnt, ✨.
📈 Excel - Youtube
📈 PowerBi -
@foresightbi
📈SQL -
@foresightbi
and w3Schools
📈 Python -
@datacamp
and YouTube
#datanerd
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I’m a “Google Data Analytics Professional Certificate” Stan.
If you’re a beginner in Data and you’re still wondering what to start with, this certification is a good place to start.
You can find it on “Coursera”. Search for “Google Data Analytics Professional Certificate”.
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Free resources to get started:
You’re welcome, 📈.
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Free Python Resources to become a Data Analyst:
1. 🐍 Data Analysis with Python:
2. 🐍 Data Analysis with Python on YT:
3. 🐍150+ Data Science Projects you can try with Python:
#learnpython
#datanerd
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Data Nerds, 🚀.
Websites to learn Data Science for free:
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I am currently reading -. What are you currently reading?
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I am super excited to announce that I have been accepted as a UN Women UK delegate for the UN Commission on the Status of Women.
This year’s theme is “Count Her In: Invest in Women. Accelerate Progress.”
Thank you
@unwomenuk
for this opportunity, 🚀.
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I did a video on how you can use AI to optimize your CV, 📑.
Link:
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First frame: Work from home.
Second frame: Work from the office.
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Happy International Women’s Day, 🚀.
Today, I had the opportunity to speak live with TVC
@tvcnewsng
Super grateful for the opportunity to do this, 🥳.
#InternationalWomensDay
#IWD2023
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core = ['books', 'coffee', 'sleep', 'code', 'gym', 'anime', 'self care', ‘GOD’]
print(f"I love that I am learning to prioritize {core[-2]}.")
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Omo Ologo 1billion 🚀.
Get to Know our Speaker! 😊
@moyinoluwaanoma
Full Name: Moyinoluwa Anoma.
Preffered Name: Anoma
Anoma is a Data Analyst at Bloomberg L.P. and the founder of Women in Data Africa (WiDA), a community that empowers women pursuing careers in tech, particularly in data.
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Hello, Data Nerds.
If you are like me and YouTube is your go-to information hub for anything and everything you want to learn, here are a couple of Data YouTubers you should check out.
Their content is super informative, consistent, up to date and easy to follow:
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Data Visualization is a great-to-have skill as a Data Analyst.
📊Here are free resources to learn PowerBi (thread includes exercises to test your knowledge and a project to showcase what you have learnt):
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Important Python Libraries for Data you can/ should learn and what they are used for:
🐍 Pandas
🐍 Numpy
🐍 Matplotlib
🐍 Seaborn
🐍 Scipy
🐍 Scikit-Learn
🐍 Scipy
Comment below other libraries that should/ can be learnt.
#DataScience
#data
#Python
#pythonlearning
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Throwback to what I wore to Asake’s London concert, 🚀.
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Hello, Data Nerds👩🏾💻.
This is your sign to remember that your soft skills are as important as your technical skills. Take out time to work and build them as you’re working and building your technical skills.
P.s: thumbs up because you got this and I am rooting for you.
#data
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Hey,
Have you tried to learn
#data
in 2021 and the first quarter of this year to no avail?
I might have a solution for you, 👇🏾.
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🌴Review your 2023/ Plan your 2024, 🥂.
Notion Template:
Google Doc Template:
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If you are new to Data, learn Excel.
🚀Use these free resources (includes a project) to learn, master Excel and jumpstart your Data career:
1. YT Excel for Data Analysis:
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Yayyy, the
@BloombergUK
Inside-Out Podcast is now out. 🥳
Honored to have been invited as a host with the iconic
@flacqua
where we discussed impartial storytelling, data-driving news and information integrity.
Go watch here:
✨.
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My current reading, >.
What are you currently reading?
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🚀.
I had the opportunity to speak live with Nigeria Info
@NigeriainfoFM
today on starting a career in Data.
It was an informative, fun and amazing hour.
I’d always be super grateful for the opportunity to create awareness about building careers in Tech, ✨.
#data
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Work on projects.
Work on projects.
Work on projects.
Work on projects.
Work on projects.
Work on projects.
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📚Books that altered by brain chemistry this year:
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In a long-term relationship with the color black, 🖤.
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1. 📊 For Excel: Excel 2019 Bible by Michael Alexander, Dick Kusleika, and John Walkenbach.
2. 📈 For Visualization: Storytelling with Data by Cole Nussbaumer Knaflic.
3. 📉For SQL: Learning SQL by Alan Beaulieu.
4. 🐍 For Python: Python for Data Analysis by Wes McKinney.
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I took out my natural hair for the first time this week.
Apart from the multiple stares, a couple of “can I touch it” and the “is that your real hair”I think I absolutely enjoyed it 👩🏾🏫.
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I had such a great time todayyyy, 🤭.
@flacqua
the icon you are, it was so great meeting you, 🚀✨.
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Build your data portfolio.
Build your data portfolio.
Build your data portfolio.
Build your data portfolio.
Build your data portfolio.
Build your data portfolio.
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I’m currently reading -. What are you currently reading?
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Books I am currently reading:
1. 📚Practical Statistics for Data Scientists, 📊.
2. 📚Stuck with you by Ali Hazelwood, ✨.
What are you currently reading?
#statistics
#book
#currentlyreading
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Coding.
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The free CV Template -
Happy New Month and Happy Job hunting ✨.
CV Template for a Data Analyst 📈📉.
P.s: this is a template. It should be edited for the specific role you are applying for.
Great success in your application ✨.
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No-face cards, anyone?
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I am currently reading -. What are you reading?
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I don’t know who needs to see this but hear me out:
“YOU DO NOT HAVE TO WAIT FOR FIRST OF JANUARY TO START WORKING ON YOUR GOALS, START NOW!!!”
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Check out these two books; thank me later haha.
I need a very good book on statistics for DA/DS.
Any recommendations please
@starboy_abefe
@moyinoluwaanoma
@likedbyJ
@albertwedwards
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Happy New Month, 🥳!
I’d be starting the month of July with studying data science again from scratch every day for at least an hour, 😮💨.
Day 1/25: Studying Statistics. I am reading the book “Practical Statistics for Data Scientists”.
#july
#data
#datachallenge
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There’s a reason I read this book every year; 😮💨.
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👩🏾💻1. “Hands on Machine Learning with Scikit-Learning and TensorFlow” by Aurelien Geron.
📊2. “Practical Statistics for Data Science” by Peter Bruce, Andrew Bruce and Peter Gedeck.
🐍3. “Python for Data Analysis” by Wes McKinney.
📈4. “Learning SQL” by Alan Beaulieu.
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