Today's question
Which tool do you use for data visualisation?
Reply in comments ππ
Which tool do you use for data visualisation?
Reply in comments ππ
π5
Data Science Projects
Today's question Which tool do you use for data visualisation? Reply in comments ππ
For those who can't comment, you need to join the group π
https://t.iss.one/Kaggle_Group
https://t.iss.one/Kaggle_Group
π3β€2
π4
Which python library is not specifically used for data visualisation?
Anonymous Poll
21%
Plotly
12%
Seaborn
14%
Matplotlib
53%
Scikit-learn
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Which of the following is not an aggregate function in sql?
Anonymous Quiz
60%
MEAN()
12%
SUM()
19%
MIN()
9%
AVG()
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Which of the following is not a DAX Function in Power BI?
Anonymous Poll
33%
CALCULATE()
21%
SUMX()
9%
SUM()
37%
SUMIFS()
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Important Note
Over the recent days, I've observed several Instagram influencers and Telegram channels endorsing a platform that claims to provide data science and data analyst certificates for 399 INR. Unfortunately, many individuals unwittingly fall into this trap.
I strongly advise against succumbing to such schemes, as these certificates hold little to no real value. Instead, channel your efforts into skill development through hands-on projects, leveraging the wealth of available online resources. If you're considering an investment, I recommend directing it towards high-quality books.
Feel free to share your thoughts in the comments, whether you agree or have a different perspective.
Over the recent days, I've observed several Instagram influencers and Telegram channels endorsing a platform that claims to provide data science and data analyst certificates for 399 INR. Unfortunately, many individuals unwittingly fall into this trap.
I strongly advise against succumbing to such schemes, as these certificates hold little to no real value. Instead, channel your efforts into skill development through hands-on projects, leveraging the wealth of available online resources. If you're considering an investment, I recommend directing it towards high-quality books.
Feel free to share your thoughts in the comments, whether you agree or have a different perspective.
π16β€5π2
Β©How fresher can get a job as a data scientist?Β©
Job market is highly resistant to hire data scientist as a fresher. Everyone out there asks for at least 2 years of experience, but then the question is where will we get the two years experience from?
The important thing here to build a portfolio. As you are a fresher I would assume you had learnt data science through online courses. They only teach you the basics, the analytical skills required to clean the data and apply machine learning algorithms to them comes only from practice.
Do some real-world data science projects, participate in Kaggle competition. kaggle provides data sets for practice as well. Whatever projects you do, create a GitHub repository for it. Place all your projects there so when a recruiter is looking at your profile they know you have hands-on practice and do know the basics. This will take you a long way.
All the major data science jobs for freshers will only be available through off-campus interviews.
Some companies that hires data scientists are:
Siemens
Accenture
IBM
Cerner
Creating a technical portfolio will showcase the knowledge you have already gained and that is essential while you got out there as a fresher and try to find a data scientist job.
Job market is highly resistant to hire data scientist as a fresher. Everyone out there asks for at least 2 years of experience, but then the question is where will we get the two years experience from?
The important thing here to build a portfolio. As you are a fresher I would assume you had learnt data science through online courses. They only teach you the basics, the analytical skills required to clean the data and apply machine learning algorithms to them comes only from practice.
Do some real-world data science projects, participate in Kaggle competition. kaggle provides data sets for practice as well. Whatever projects you do, create a GitHub repository for it. Place all your projects there so when a recruiter is looking at your profile they know you have hands-on practice and do know the basics. This will take you a long way.
All the major data science jobs for freshers will only be available through off-campus interviews.
Some companies that hires data scientists are:
Siemens
Accenture
IBM
Cerner
Creating a technical portfolio will showcase the knowledge you have already gained and that is essential while you got out there as a fresher and try to find a data scientist job.
π24π₯5β€3
π"Key Python Libraries for Data Science:
Numpy: Core for numerical operations and array handling.
SciPy: Complements Numpy with scientific computing features like optimization.
Pandas: Crucial for data manipulation, offering powerful DataFrames.
Matplotlib: Versatile plotting library for creating various visualizations.
Keras: High-level neural networks API for quick deep learning prototyping.
TensorFlow: Popular open-source ML framework for building and training models.
Scikit-learn: Efficient tools for data mining and statistical modeling.
Seaborn: Enhances data visualization with appealing statistical graphics.
Statsmodels: Focuses on estimating and testing statistical models.
NLTK: Library for working with human language data.
These libraries empower data scientists across tasks, from preprocessing to advanced machine learning."
Numpy: Core for numerical operations and array handling.
SciPy: Complements Numpy with scientific computing features like optimization.
Pandas: Crucial for data manipulation, offering powerful DataFrames.
Matplotlib: Versatile plotting library for creating various visualizations.
Keras: High-level neural networks API for quick deep learning prototyping.
TensorFlow: Popular open-source ML framework for building and training models.
Scikit-learn: Efficient tools for data mining and statistical modeling.
Seaborn: Enhances data visualization with appealing statistical graphics.
Statsmodels: Focuses on estimating and testing statistical models.
NLTK: Library for working with human language data.
These libraries empower data scientists across tasks, from preprocessing to advanced machine learning."
π15β€1
π’ 7 valuable resources that I used to prepare for data science interviews!
π’ One of the most important factors to get data science jobs in the best companies is success in job interviews.
π I have put here 7 valuable resources that helped me a lot while preparing for data science interviews. I hope these resources can help you succeed in data science interviews
1οΈβ£ machine learning
π Link: Machine Learning
2οΈβ£ Python programming language
π Link: Python Programming Language
3οΈβ£ SQL programming language
π Link: SQL Programming Language
4οΈβ£ R programming language
π Link: R Programming Language
5οΈβ£ Pandas library
π Link: Pandas Python Library
6οΈβ£ NumPy library
π Link: NumPy Python Library
7οΈβ£ Matplotlib library
π Link: Matplotlib Python Library
Enjoy π
π’ One of the most important factors to get data science jobs in the best companies is success in job interviews.
π I have put here 7 valuable resources that helped me a lot while preparing for data science interviews. I hope these resources can help you succeed in data science interviews
1οΈβ£ machine learning
π Link: Machine Learning
2οΈβ£ Python programming language
π Link: Python Programming Language
3οΈβ£ SQL programming language
π Link: SQL Programming Language
4οΈβ£ R programming language
π Link: R Programming Language
5οΈβ£ Pandas library
π Link: Pandas Python Library
6οΈβ£ NumPy library
π Link: NumPy Python Library
7οΈβ£ Matplotlib library
π Link: Matplotlib Python Library
Enjoy π
π22β€8π₯4π2
Forwarded from R z
I like your data science project channel. I have suggestion for you, please create a WhatsApp channel too. Because many students are not in telegram but everyone uses WhatsApp.
π13
Data Science Projects
Should I create a WhatsApp channel too?
For those of you who are more active on WhatsApp can join Data Science Projects channel ππ
https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y
Sharing quality content here as well πβ€οΈ
https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y
Sharing quality content here as well πβ€οΈ
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Artificial Intelligence & Data Science Projects | Machine Learning | Coding Resources | Tech Updates WhatsApp Channel. Perfect channel to learn Machine Learning & Artificial Intelligence
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π° Learn Dataβ¦
For promotions, contact [email protected]
π° Learn Dataβ¦
π7β€5π2
Who are you?
Anonymous Poll
59%
College Student
28%
Working Professional
5%
School Student
9%
Freelancer
π8π6
Which tool do you use for data visualisation?
Anonymous Poll
60%
Tableau/ Power BI
26%
Matplotlib/ Plotly/ Seaborn
1%
Qlik
8%
Excel
1%
Any other tool (add in comments)
4%
Not started data visualisation
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