Obinna Iheanachor
@DataSenseiObi
Followers
3,467
Following
60
Media
171
Statuses
1,516
I help aspiring data professionals build successful careers • BI/Data Engineer • Building @wisabiHQ @afrostatsmusic @dataproafrica
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Joined September 2019
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Pinned Tweet
Do you want to become a world-class data analyst in just 6 months?
I’ve been there, and I know how overwhelming it can be to learn data analysis from scratch.
That’s why I’ve created a 6-month roadmap of free high-quality resources that will teach you everything you need to
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2K
Hello, Twitter!
I’m back after a 2-month hiatus.
I have some exciting news to share with you all. 🎉
First of all, I have moved to the UK where I’m pursuing my masters degree in Artificial Intelligence and Data Science at the University of Hull.
Secondly, I just finished
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95% of recruiters use LinkedIn to find candidates
In this thread, I'll share 7 tips that will help you stand out on LinkedIn and attract the attention of potential employers
If you're looking for a new job, open this thread!
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Looking for the best laptop for data analysis?
Open this thread for some tips and recommendations based on your needs and budget.
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Hi, new followers!👋
I'm Obinna and here are some facts about me:
→ I'm from Nigeria 🇳🇬
→ I've been in the data industry for 4+ years, working with various sectors and domains, where I've used my expertise to inspire data-driven decisions 📊
→ Beyond my professional
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I asked you to assume you were about to launch a Fintech startup, which data professional would you hire first?
You voted as shown in the image:
1. Data Analyst
2. Data Engineer
3. Data Scientist
4. ML Engineer
But who would I hire first?
The answer may shock you.👇🧵
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No one plans to be unemployed.
But sometimes, you’re unemployed because you don’t have a plan.
If you’re looking to secure a dream job as a Data professional, you need a plan.
And I have one for you.
Here’s a 6-step plan that I’d follow if I was in your shoes. 🧵
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I know how frustrating it is to apply for jobs and get rejected because you don’t have enough experience
I was in the same boat a few years ago
But I found a way to break out of this cycle and transform my job prospects
Here's how I did it 🧵
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While searching for my first data job, I applied for this data analyst role at an FMCG company and got rejected at the final stage.
About 5 months later, the same recruiter contacted me for another job.
He asked for my salary expectations.
I told him
He was shocked
He
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Month 1: Statistics & Probability
This YouTube playlist by
@khanacademy
is the perfect resource to learn statistics & probability for data analytics especially if you find these topics intimidating.
PS: You don’t need to watch all the videos. The first 12 should be sufficient
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Over 80% of people who start out in Tech quit in first 6 months
Personally, I spent a year learning Data Analytics before I got my first Tech job
Here’s what kept me going when I felt like giving up 🧵
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I love sharing my knowledge and helping others in the data industry.
I was invited to give a talk to students of the Department of Statistics, Yaba College of Technology.
We explored the importance of statistics in our digital world, and how they can leverage this to build
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First, it’s important to understand the role of a data analyst and determine if it’s a good fit for you.
This article by
@careerfoundry
is an incredibly valuable resource:
If you feel excited about pursuing a data analyst career, then you’re ready for
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Month 2: Excel
Master Excel with these resources:
→ Basic to Intermediate Excel:
→ Detailed Pivot Tables Tutorial:
→ Power Excel (Portfolio Project included):
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3 years ago, I participated in the Data4Governance hackathon by
@Cc_HUB
, a challenge to use data for social good.
My team tackled the question; How can we improve Nigeria's school network and reach the underserved communities?
We were confident in our Power BI skills and built
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Managing data projects can be challenging and complex.
You need a proven method to define, understand, prepare, analyze, validate, and present your data problem and solution
In this thread, I’ll show you how to use the Problem Solving Framework (PSF) to tackle any data project.
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Most data professionals don't get this.
Learning never stops.
In the tech industry, Knowledge is Power, but only if updated.
If you rely on your current knowledge, in no time you’ll become irrelevant.
Strive to embrace lifelong learning, and always stay curious.
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Everyone is building and sharing dashboards on social media.
If I was looking for a job as a data professional, here's how I would stand out.
A thread🧵
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Analyzing data is easy.
Analyzing data meaningfully is hard.
Analyzing data meaningfully and communicating it clearly is even harder.
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Day 1: I learned how to:
• Design an Azure data lake
• Select the right file types for storage
• Choose the right file types for analytical queries
• Design storage for efficient querying
• Design storage for data pruning
• Design folder structures for data transformation
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Month 3: SQL
→ Learn SQL with
@udacity
's free course:
→ My SQL Course Playlist:
→ Take up
@DataWithDanny
's 8-Week SQL challenge:
→ SQL Portfolio Project:
→Explore more SQL
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Hi everyone, I have some exciting news to share with you
I’m starting a 30 days of code challenge today and I want you to join me!
The idea is simple:
To improve at anything, do it 30 min per day for 30 straight days
Want to know how to join me?
Open this thread!🧵
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Building a tech career is hard.
Staying consistent is harder.
Especially when you put in so much work and you see little to no results.
Don't give up!
You're closer than you know and I’m rooting for you!💪🏽
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Want to showcase your Excel skills?
Learn how to use Power Excel (Power Pivot & Power Query) to create a Market Analytics Dashboard in Excel.
Follow the step-by-step video here:
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I and
@mrAyoku
are giving out 5
#DataFestAfrica2023
tickets
For a chance to win, simply follow
@AfroStatsMusic
and retweet this post.
We'll announce the winners in a few hours.
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That's a wrap!
If you liked this thread:
Drop a like, comment & RT to share this with your audience.
And if you want to master the art of:
→ Building a Successful Data Career
→ Building A Stand Out Personal Brand
You know where to find me
@DataSenseiObi
Do you want to become a world-class data analyst in just 6 months?
I’ve been there, and I know how overwhelming it can be to learn data analysis from scratch.
That’s why I’ve created a 6-month roadmap of free high-quality resources that will teach you everything you need to
66
987
2K
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Month 4: Power BI/Tableau
Resources for Power BI:
→ Power BI Course (Portfolio Projects included):
→ Microsoft Learn:
Resources for Tableau:
→
@udacity
's Free Course:
→ My Tableau Course Playlist:
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Afrobeats music is more than just a sound, it’s a data story.
That’s why I and
@mrayoku
created
@AfroStatsMusic
, a product that lets you explore the data behind your favorite songs on YouTube.
At
#DataFestAfrica2023
, we will show you how
@AfroStatsMusic
works and how it can
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Storytelling/Presentation:
→ Free Udemy Course:
→ Email Etiquette Tips:
→ Best Data Storytelling Resources:
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Here are the top 7 YouTube channels that will put you in the top 2% of Excel users 🧵
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I joined Twitter in 2019 but only started tweeting two months ago.
Why?
Because I want to help you break into tech and build a thriving career.
I have tons of tips and stories to share with you.
Are you ready?
Let’s do this! 🚀
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@adeolaowosho
After months of trying, was finally able to use Azure Free credits with my GTBANK card yesterday
Congratulations to us!🎉
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I was invited to speak to aspiring data professionals and share tips from my wealth of experience
After my talk, it was question time and someone asked:
What is the difference between Data Science and Data Engineering?
Let me explain these concepts with a relatable analogy🧵
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Month 6: Git + GitHub, Cloud Computing, Agile
Git + GitHub resources
Git and GitHub are essential tools for data analysts because they enable version control, collaboration, and sharing of code and data files.
→ Learn Git + GitHub with
@udacity
’s YouTube Playlist:
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Data is the new oil, they say.
But how do you refine it, store it, and use it wisely?
I use a combination of cloud storage, data pipelines, and visualization tools to make sense of my data.
What about you?
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In 2 weeks, I’ll take the Azure Data Engineer certification exam
I haven’t studied much because of work and other personal commitments
But I’m determined to pass the exam
So for the next 14 days, I’ll focus only on preparing
This tweet is my pledge and you’re my witnesses
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📥 Download the Ultimate Roadmap for Data Analysts here:
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@Wizarab10
Building a successful Tech career demands hard work, dedication, and passion for what you learn.
Enjoying the journey keeps you on track.
Any Tech role can be lucrative.
Explore diverse Tech roles and find your perfect career path with this article:
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I’m thrilled to be a mentor at the KaggleX BIPOC Mentorship Program, a wonderful initiative that aims to create career opportunities, and develop individual growth for BIPOC people in data science.
I can’t wait to share my knowledge with my mentees and learn from them as well.
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Day 2: I learned how to:
• Design a partition strategy for files
• Design a partition strategy for analytical workloads
• Design a partition strategy for efficiency/performance
• Design a partition strategy for Azure Synapse Analytics
• Identify when partitioning is needed
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Another day, another opportunity.
Challenge yourself, grow yourself, love yourself.
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Month 5: Python (Optional)
Depending on your industry or organization, you might be required to work with specific tools or software that don't necessarily involve Python hence I’ve marked it as optional.
→ Learn Python with
@udacity
’s Free Course:
→
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When building a career as a data professional, should one aim to be a generalist or a specialist?
What are the pros and cons of each approach?
I would love to hear your thoughts:
@TheOyinbooke
@ObodozieNP
@Opiano_1
@TomMitchellData
@TheDataEngrDuke
@DavidAbu_
@thenaijacarguy
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Cloud Computing Resources:
Cloud computing empowers data analysts to handle large-scale data processing, collaborate effectively, and take advantage of advanced analytics tools and services available on cloud platforms
→ AWS vs GCP vs Azure:
→ AWS
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Your profile title is your first impression to potential employers
Don’t sell yourself short with vague terms like “Data Science Enthusiast” or “Aspiring data analyst”
Be specific and confident about your skills and goals
Show employers what you can do and what you want to do
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Analyzing data is easy.
Analyzing data meaningfully is hard.
Analyzing data meaningfully and communicating it clearly is even harder.
1
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You’ve probably seen tweets claiming that AI has killed this or that job.
But what about data professionals?
How will AI affect our work and careers?
Here are some of my thoughts on this topic. 👇
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Agile:
Agile methodology helps you deliver value to your stakeholders faster, adapt to changing requirements or feedback, and improve the quality and efficiency of your work
→ Agile Analytics Course:
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Skills one should have as a Data professional but most don't:
→ Dealing with Bias
→ Version Control
→ Proper Code Documentation
→ Business Requirement Gathering
→ Effective Communication
Nice to have:
→ Premium Lamba skills
→ Googling/CHAT-GPTing
What did I miss?
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Skills one should have as a Data professional but most don't:
→ Dealing with Bias
→ Version Control
→ Proper Code Documentation
→ Business Requirement Gathering
→ Effective Communication
Nice to have:
→ Premium Lamba skills
→ Googling/CHAT-GPTing
What did I miss?
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Another day, another opportunity.
Put in the work,
stay consistent
hone your skills,
and actively seek out opportunities.
3
7
30
Learn how I and
@mrAyoku
built
@AfroStatsMusic
, a product that lets you explore and predict the performance of Afrobeats songs on YouTube.
This is the most exciting session at
#DataFestAfrica2023
You can learn more about our session here:
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I used to be a perfectionist. But it made me stressed, unhappy, and unproductive.
Then I changed my mindset. I learned to appreciate my progress. It made me feel good, happy, and productive.
You can do it too. Just focus on the small wins and the big ones will follow.
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Do you want to grow your network and advance your career as a data professional?
In this thread I will share how to make a lasting impression and build meaningful relationships with other data professionals? 🧵
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Sapa aside, what is your motivation for learning data analytics?
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Harsh reality:
If you’re starting out in tech
There’s a 90% chance you’ll give up in the next 3-6 months.
I’ve seen it happen first-hand.
If you can get through that you’re already winning.
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I got my first data job through a referral from my boss
@mrAyoku
How did you get your first job?
Sharing might help some people get some ideas
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Another day, another opportunity.
Seize it,
own it,
make it count.
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The answer is B) A data engineer
Why?
Because a data engineer can help you build and maintain your data infrastructure and pipelines from scratch
They can help you collect, store, transform, and deliver data efficiently and reliably
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Data analysis is not just about using fancy tools and algorithms.
It’s about finding insights that can help you make better decisions based on data.
Here’s a screenshot of my Twitter analytics in the last 14 days.
It shows the hours when my tweets get the most impressions
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Everyone wants to acquire relevant tech skills, land that perfect job, and build a fulfilling career in tech.
But only a few will actually make it.
Here’s why:
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I'm super excited to announce my first Twitter space!
Topic: How to Build a Powerful Online Presence that Highlights your Data Skills
Set a reminder and see you soon!
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You might:
• Not have a high-spec laptop
• Not have enough money
• Struggle to pay for data subscriptions to take endless courses
However, with:
🌟 A positive mindset,
💪 Persistence, and
📝 A solid plan,
You will win! I'm rooting for you! 💪✨
#Motivation
#Success
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I had a swell time at the Music meets Data event
I learned so much from the awesome panelists
@the_ezinne
@thisisAQ
@EclipseNkasi
who shared their insights and experiences on how data and music can work together
It was also a pleasure to reconnect with the inspiring
@DavidAbu_
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Another day, another opportunity.
Be the best version of yourself.
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Day 3: I learned how to:
• Design slowly changing dimensions (SCDs)
• Design a solution for temporal data
• Design a dimensional hierarchy
Feeling confident and ready for more!
#30daysofcodewithobi
Hey,
#30daysofcodewithobi
fam!
I’m not gonna lie, today was tough
I got some bad news that really brought me down
But you know what?
I made a commitment to myself and to you all to code every day for 30 days, no matter what
So, stay tuned for my Day 3 update
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I used to be a perfectionist.
But it made me stressed, unhappy, and unproductive.
Then I changed my mindset.
I learned to appreciate my progress.
It made me feel good, happy, and productive.
You can do it too.
Just focus on the small wins and the big ones will follow.
2
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I'm thrilled to announce that my YouTube channel
@wisabiHQ
has reached 5k subscribers!🎉
Thank you all for your support and stay tuned for some amazing content coming soon.
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$1000 - $1500: Dell XPS 13 or 15
They have Intel i7 or i9 processors that offer great performance for data analysis with multiple cores and threads.
They also have 16GB RAM, 512GB SSD, a high-resolution touchscreen display, a long battery life, and a Windows operating system
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Are you a music lover who also enjoys data analysis?
If yes, then you won’t want to miss the ‘Music Meets Data’ event by
@InstigLabs
and
@SLOTAfrica
Join me and other music data enthusiasts on July 29th for an amazing experience
You'll get to learn from experts like
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5 lessons that Data Professionals can learn from history, using famous figures and events as examples.
A thread.🧵
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Under $500: Lenovo Ideapad i3.
It has an Intel i3 processor, 8GB RAM, 256GB SSD, a 15.6 inch HD display, a full keyboard with a number pad, and a Windows operating system.
It is suitable for basic data analysis tasks with BI software
You can upgrade the RAM to 16GB if needed.
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@AdoraNwodo
Great question Adora. Some tips I use include:
→ Choose your battles. Not everything matters
→ Have facts and data. Back up your view
→ Use “I” statements. Don’t blame or accuse
→ Listen & acknowledge. Understand their side
→ Suggest alternatives. Don’t just say no
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Another day, another opportunity.
Dream big,
work hard,
enjoy the journey
0
5
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Another day, another opportunity.
Stay curious,
be kind,
and be your best self. 💯
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My favorite place to learn anything Tech related is
@udacity
Their Nanodegrees are awesome but pricey ($399/month for 3-4 months on average)
Luckily, I got 6 out of 7 of mine through scholarships
Want to know how?
Subscribe to their list and get notified of scholarship
2
7
24
Another day, another opportunity.
Put in the work,
stay consistent
hone your skills,
and actively seek out opportunities.
0
6
23
I know how hard it can be to pursue a data career.
There are so many challenges and obstacles along the way.
But you are not alone.
Tell me, what is the biggest challenge you are dealing with as a data enthusiast?
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4
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I am thrilled to share a project that combines two of my favorite passions: data and music! 🎉
Together with the innovative
@MrAyoku
, we've built a web app that takes a deep dive into the data behind the music of your favorite artists.
Link to viz:
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Have you ever been betrayed by data?
I have.
And it was one of the worst experiences of my life.
Let me tell you what happened and what I learned from it. 🧵
2
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Day 6: I watched a YouTube tutorial on DP203 Microsoft Azure Data Engineer Associate Certification Training
#30daysofcodewithobi
0
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A data engineer can also help you integrate with other data sources, such as APIs, databases, or third-party services, that will provide you with valuable data for your Fintech product or service
A data engineer can also help you support other data professionals, such as data
2
1
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I just hit 300k views and 2k subscribers on my YouTube channel.
Looking to grow your Data Analytics skills?
Excel:
SQL:
Power BI:
Tableau:
0
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So, when should you hire the other data roles?
Here’s a rough guide:
- Hire a data analyst when you have enough data to measure and optimize your key metrics, such as customer acquisition, retention, revenue, etc.
- Hire a data scientist when you have enough data to solve
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Stage 1:
Get paid for what you do
Stage 2:
Get paid for what you know
Stage 3:
Get paid for who you are
Stage 4:
Get paid for doing nothing
What stage are you at?
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Key takeaways:
- Lack of experience is a common challenge for aspiring Data Professionals
- You can overcome this challenge by finding opportunities to apply your skills to real-world problems
- You can offer your services for free or low cost to friends, relatives, or people
1
0
20
I joined Twitter in 2019 but only started tweeting last month.
Why?
Because I want to help you break into tech and build a thriving career.
I have tons of tips and stories to share with you.
Are you ready?
Let’s do this! 🚀
0
5
21
Another day, another opportunity.
Challenge yourself,
grow yourself,
love yourself.
1
4
18
You might:
• Not have a high-spec laptop
• Not have enough money
• Struggle to pay for data subscriptions to take endless courses
However, with:
🌟 A positive mindset,
💪 Persistence, and
📝 A solid plan,
You will win! I'm rooting for you! 💪✨
#Motivation
#Success
0
4
19
Day 18: Finally completed my ebook after weeks of writing.
I'm super excited to share this with the community.
#30daysofcodewithobi
0
3
20
Another day, another opportunity.
Dream big,
work hard,
enjoy the journey
0
1
20
That's a wrap!
If you liked this thread:
Drop a like, comment & RT the tweet below to share this with your audience.
And if you want to master the art of:
→ Building a Successful Data Career
→ Building A Stand Out Personal Brand
You know where to find me
@DataSenseiObi
Looking for the best laptop for data analysis?
Open this thread for some tips and recommendations based on your needs and budget.
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481
1
2
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75% of Data Professionals struggle with Behavioral Interviews
Here’s how to ace your next behavioral Interview using the SHARE Framework:
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Depending on your data analysis goals and preferences, you may need different hardware specifications for your laptop.
The most important ones are:
→ RAM
→ CPU
→ GPU
→ Storage
→ Screen
1
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I've had a similar experience.
I was young and eager when I landed my first job.
I didn’t know how to negotiate, so I accepted a 'relatively' low salary.
I worked hard and delivered great results, hoping for a raise.
My manager said I'd get one after a year, but we never
I mostly ignore messages that are more than one page but posting this.
Let me pass this to others to advise, but my own simple advice is, if you decide to go elsewhere, don’t return to this same company again. They may not be this nice on your return.
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10% luck
20% skill
15% concentrated power of will
5% pleasure
50% pain
A 100% reason to
#RememberTheName
!
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Building a tech career is hard.
Staying consistent is harder.
Especially when you put in so much work and you see little to no results.
Don't give up!
You're closer than you know and I’m rooting for you!💪🏽
0
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Another day, another opportunity
Dreams don’t work unless you do.
0
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