Pickl AI

MARCH 20, 2024

Proficiency in probability distributions, hypothesis testing, and statistical modelling enables Data Scientists to derive actionable insights from data with confidence and precision. Mastery of statistical concepts equips professionals to make informed decisions and draw accurate conclusions from empirical observations.

Data Science 52

Data Science Data Scientist Data Wrangling Machine Learning 52

Pickl AI

APRIL 3, 2025

Hypothesis Testing: Formally testing assumptions or theories about the data using statistical methods to determine if observed patterns are statistically significant or likely due to chance. Modeling: Build a logistic regression or decision tree model to predict the likelihood of a customer churning based on various factors.

Data Analysis 52

Data Analysis Data Analysis Data Visualization EDA 52

Pickl AI

APRIL 28, 2023

Here is the tabular representation of the same: Technical Skills Non-technical Skills Programming Languages: Python, SQL, R Good written and oral communication Data Analysis: Pandas, Matplotlib, Numpy, Seaborn Ability to work in a team ML Algorithms: Regression Classification, Decision Trees, Regression Analysis Problem-solving capability Big Data: (..)

Data Scientist 52

Data Scientist Data Science Hypothesis Testing Decision Trees 52

Pickl AI

JULY 10, 2023

It provides functions for descriptive statistics, hypothesis testing, regression analysis, time series analysis, survival analysis, and more. It offers a comprehensive set of built-in statistical functions and packages for hypothesis testing, regression analysis, time series analysis, survival analysis, and more.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

MAY 31, 2023

Begin by employing algorithms for supervised learning such as linear regression , logistic regression, decision trees, and support vector machines. Accordingly, you need to make sense of the data that you derive from the various sources for which knowledge in probability, hypothesis testing, regression analysis is important.

Data Science 52

Data Science Python Data Scientist Machine Learning 52

Pickl AI

APRIL 26, 2024

What are the advantages and disadvantages of decision trees ? Yes, I am proficient in data visualisation tools such as Tableau, Power BI, and Matplotlib in Python, which I use to create interactive and insightful visualisations for data analysis. Have you worked with cloud-based data platforms like AWS, Google Cloud, or Azure?

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Pickl AI

AUGUST 9, 2024

Statistical Analysis Introducing statistical methods and techniques for analysing data, including hypothesis testing, regression analysis, and descriptive statistics. Visualisation Tools Familiarity with tools such as Tableau, Power BI, and D3.js Students should learn about data wrangling and the importance of data quality.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52