Joined September 2024
- Tweets 43
- Following 10
- Followers 8
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3 Photos and videos
9 Nov 2024
Hereβs a visual breakdown of SQLβs logical query order a game-changer for writing efficient queries!
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πππ & ππππ: It all starts here! Combine your tables and build your base dataset.
2. ππ: Define how your tables relate to each other.
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3. πππππ: Filter your dataset early to reduce data load.
4. πππππ ππ: Aggregate data to identify meaningful patterns.
5. ππππππ: Apply conditions to your aggregated data.
6. ππππππ: Now pick the columns you care about!
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7. πππππ ππ: Organize your results for better insights.
8. πππππ: Keep it simple, showing only the data that matters!
π ππ’π©: Understanding this flow will help you optimize performance and avoid common mistakes! π₯
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7 Nov 2024
UNLOCK your Data skills in 5 weeks
Day 1 - 14 Excel Basics and fundamentals
Day 15 - 28 powerBi and SQL bases
Day 28 - 38 Advanced SQL and final projects
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PureQuery retweeted
19 Oct 2024
Here is a format to submit a bid for your data analyst gig on any freelancing site
Dear [Client],
I am excited to submit my bid for your data analyst project. With my expertise in data analysis and experience in working with various industries, I am confident that I can deliver
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18 Oct 2024
How to Draw Insights from Your Data
Drawing valuable insights from data is a systematic process that transforms raw information into actionable knowledge. Hereβs a simple guide to get started:
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18 Oct 2024
correlation, or regression analysis to uncover deeper insights. For example, find relationships between variables or predict future trends.
6. Interpret the Results: Link the patterns and findings back to your objective. What do they tell you?
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How can they inform decisions or solve problems?
With practice and the right tools, drawing insights from data can drive impactful decisions that lead to success
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17 Oct 2024
Here are three successful ways of learning data analysis:
1.Hands-On Practice with Real Datasets: Learning data analysis requires practical application. Use publicly available datasets or projects relevant to your field, such as business, health, or technology, to practice tools
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These courses often include structured learning paths, covering key skills in data cleaning, visualization, and analysis, along with real-world examples.
3.Engage in Communities and Datathons: Joining online communities like Kaggle, GitHub, or participating in Datathons
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collaboration, learning from others, and exposure to different approaches in solving data problems. This can fast-track your learning by working with peers and getting feedback on your work.
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PureQuery retweeted
17 Oct 2024
Day 5: Building Your Portfolio
the focus is on creating a standout portfolio that highlights your skills and showcases your best work. A
well-constructed portfolio is crucial for anyone looking to demonstrate their expertise and make a lasting impression on potential employers.
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PureQuery retweeted
16 Oct 2024
On day 4, we delve into how businesses leverage data analysis to drive decision-making and develop strategic initiatives. In today's highly competitive environment, the ability to convert data into actionable insights is crucial for success.
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PureQuery retweeted
15 Oct 2024
Day 3: Key Skills to Develop as a Data Analyst
By now, you should have a grasp on what data analysis is and why itβs essential in todayβs world. But knowledge alone wonβt get you far. To truly succeed as a data analyst, you need to develop a set of critical skills that go beyond
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4. Time Management is Key
Use tools like Google Calendar or Todoist to plan your learning and self-improvement routine.
5. Build Healthy Habits
- Add regular exercise to your schedule.
- Practice mindfulness to stay focused and stress-free.
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6. Showcase Your Work
Share your projects on GitHub or LinkedIn. Build a simple portfolio and let others see your progress.
7. Stay Consistent
Track your progress weekly. Small steps daily can lead to big changes by the end of the year!
Let's finish 2024 strong! πͺ
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