Data Science Dojo

JULY 3, 2024

Tools like Tableau, Power BI, and Python libraries such as Matplotlib and Seaborn are commonly taught. Statistics : Fundamental statistical concepts and methods, including hypothesis testing, probability, and descriptive statistics. R : Often used for statistical analysis and data visualization.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

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.

Data Analysis 52

Data Analysis Data Analysis Data Visualization EDA 52

Pickl AI

FEBRUARY 22, 2024

Programs like Pickl.AI’s Data Science Job Guarantee Course promise data expertise including statistics, Power BI , Machine Learning and guarantee job placement upon completion. Self-paced options from EDUCBA, Udacity, and Codecademy enable convenient skill enhancement for aspiring statisticians. Data Science Bootcamp Pickl.AI

Data Science 52

Data Science Hypothesis Testing Data Analysis Data Analysis 52

Pickl AI

JULY 25, 2023

Statistical Analysis: Hypothesis testing, probability, regression analysis, etc. Data Visualization: Matplotlib, Seaborn, Tableau, etc. Excel, Tableau, Power BI, SQL Server, MySQL, Google Analytics, etc. Machine Learning: Supervised and unsupervised learning techniques, deep learning, etc.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 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

NOVEMBER 6, 2023

By enabling users to interact with visual representations, Data Scientists can encourage deeper analysis, hypothesis testing, and knowledge discovery. Additionally, there are user-friendly tools like Tableau, Power BI, or Google Data Studio that offer drag-and-drop interfaces for creating visualizations without extensive coding.

Data Visualization 52

Data Visualization Data Science Data Scientist Data Analysis 52

Pickl AI

APRIL 26, 2024

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. Tools & Technologies Gain proficiency in Python, pandas, NumPy, Scipy, Power BI, R, and Tableau.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52