Data science use cases in finance
https://www.kdnuggets.com/2018/05/top-7-data-science-use-cases-finance.html
https://www.kdnuggets.com/2018/05/top-7-data-science-use-cases-finance.html
KDnuggets
Top 7 Data Science Use Cases in Finance - KDnuggets
We have prepared a list of data science use cases that have the highest impact on the finance sector. They cover very diverse business aspects from data management to trading strategies, but the common thing for them is the huge prospects to enhance financial…
Today's free course for limited time
https://www.udemy.com/course/best-data-science-business-analytics-course/?Join-@free4unow&couponCode=BUSINESS12
https://www.udemy.com/course/best-data-science-business-analytics-course/?Join-@free4unow&couponCode=BUSINESS12
Udemy
Online Courses - Learn Anything, On Your Schedule | Udemy
Udemy is an online learning and teaching marketplace with over 250,000 courses and 80 million students. Learn programming, marketing, data science and more.
Forwarded from Jobs | Internships | Placement | Interviews
Looking for Data Scientists to work as Teaching Associates(10 positions)1-6 years exp .
Benglore based
Please share cvs on [email protected]
9-13L CTC
Benglore based
Please share cvs on [email protected]
9-13L CTC
Today's free course for limited time
https://www.udemy.com/course/best-data-science-business-analytics-course/?couponCode=DATA24
https://www.udemy.com/course/best-data-science-business-analytics-course/?couponCode=DATA24
Udemy
Online Courses - Learn Anything, On Your Schedule | Udemy
Udemy is an online learning and teaching marketplace with over 250,000 courses and 80 million students. Learn programming, marketing, data science and more.
Today's free course for limited time
https://www.udemy.com/course/the-complete-introduction-to-data-analytics-with-tableau/?ranMID=39197&ranEAID=ZVa/fYdMEMA&ranSiteID=ZVa_fYdMEMA-X7NqtQkWtSWIso08ccHM6w&LSNPUBID=ZVa/fYdMEMA&utm_source=aff-campaign&utm_medium=udemyads&couponCode=A12927FADDC6F13D34CA
https://www.udemy.com/course/the-complete-introduction-to-data-analytics-with-tableau/?ranMID=39197&ranEAID=ZVa/fYdMEMA&ranSiteID=ZVa_fYdMEMA-X7NqtQkWtSWIso08ccHM6w&LSNPUBID=ZVa/fYdMEMA&utm_source=aff-campaign&utm_medium=udemyads&couponCode=A12927FADDC6F13D34CA
Udemy
The Complete Introduction to Data Analytics with Tableau
Kickstart your Data Analytics Career with Tableau by solving Realistic Analytics Projects. Learn Data Visualisation!
Which is not a type of machine learning
Anonymous Quiz
3%
Supervised Learning
8%
Unsupervised
83%
Inforcement Learning
6%
Reinforcement Learning
👍2
In which machine learning algorithm, machine learn on its own
Anonymous Quiz
33%
Supervised Learning
67%
Reinforcement Learning
👍1
Which one you want to learn first?
Anonymous Poll
56%
Data analysis and visualization
44%
Machine Learning and it's algorithms
Who is Data Scientist?
He/she is responsible for collecting, analyzing and interpreting the results, through a large amount of data. This process is used to take an important decision for the business, which can affect the growth and help to face compititon in the market.
A data scientist analyzes data to extract actionable insight from it. More specifically, a data scientist:
Determines correct datasets and variables.
Identifies the most challenging data-analytics problems.
Collects large sets of data- structured and unstructured, from different sources.
Cleans and validates data ensuring accuracy, completeness, and uniformity.
Builds and applies models and algorithms to mine stores of big data.
Analyzes data to recognize patterns and trends.
Interprets data to find solutions.
Communicates findings to stakeholders using tools like visualization.
He/she is responsible for collecting, analyzing and interpreting the results, through a large amount of data. This process is used to take an important decision for the business, which can affect the growth and help to face compititon in the market.
A data scientist analyzes data to extract actionable insight from it. More specifically, a data scientist:
Determines correct datasets and variables.
Identifies the most challenging data-analytics problems.
Collects large sets of data- structured and unstructured, from different sources.
Cleans and validates data ensuring accuracy, completeness, and uniformity.
Builds and applies models and algorithms to mine stores of big data.
Analyzes data to recognize patterns and trends.
Interprets data to find solutions.
Communicates findings to stakeholders using tools like visualization.
❤4
Which of the following are important skills for a data scientist?
Anonymous Quiz
8%
Analysing data
2%
Data wrangling
4%
Communication and critical thinking skills
4%
Statistical knowledge
83%
All of the above
Some of the essential libraries of Python that are used in Data Science
Numpy
SciPy
Pandas
Matplotlib
Keras
TensorFlow
Scikit-learn
Numpy
SciPy
Pandas
Matplotlib
Keras
TensorFlow
Scikit-learn
👍1
Why Matplotlib is used?
Anonymous Quiz
6%
Data extraction
5%
Data cleaning
87%
Data visualization
2%
None