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 Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

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

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

APRIL 28, 2023

The post Data Scientist Salary in India’s Top Tech Cities appeared first on Pickl AI.

Data Scientist 52

Data Scientist Data Science Hypothesis Testing Decision Trees 52

Pickl AI

OCTOBER 14, 2024

Techniques Hypothesis Testing: Determining whether enough evidence supports a specific claim or hypothesis. Techniques like mean, median, standard deviation, and hypothesis testing are crucial for identifying patterns and trends in data. By analysing a sample, statisticians can draw inferences about broader trends.

Data Analysis 52

Data Analysis Data Analysis EDA Data Mining 52

Pickl AI

SEPTEMBER 23, 2024

Summary: The blog explores the synergy between Artificial Intelligence (AI) and Data Science, highlighting their complementary roles in Data Analysis and intelligent decision-making. Introduction Artificial Intelligence (AI) and Data Science are revolutionising how we analyse data, make decisions, and solve complex problems.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Science Machine Learning 52

Pickl AI

DECEMBER 4, 2024

Concepts such as probability distributions, hypothesis testing, and regression analysis are fundamental for interpreting data accurately. Tableau or Matplotlib) is critical for presenting insights to stakeholders who may not have a technical background.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

JULY 28, 2023

Data analysts build interactive dashboards, charts, graphs, and infographics using a variety of programmes and libraries like Tableau , Power BI , or Python’s Matplotlib and Seaborn. appeared first on Pickl AI. Make sure that you follow all the tips for your Data Analyst portfolio and ace your interviews efficiently.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Data Visualization 52

Pickl AI

APRIL 26, 2024

Key trends in the data analytics industry include the increasing adoption of AI and machine learning , the growing importance of data privacy and security, and the rise of real-time analytics and edge computing. 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

Pickl AI

MAY 29, 2024

Proficiency with tools like Tableau , Matplotlib , and ggplot2 helps create charts, graphs, and dashboards that effectively communicate insights to stakeholders. This knowledge allows the design of experiments, hypothesis testing, and the derivation of conclusions from data.

Data Scientist 52

Data Scientist Data Science Machine Learning 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

Pickl AI

MAY 31, 2023

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. The post Best Resources for Kids to learn Data Science with Python appeared first on Pickl AI.

Data Science 52

Data Science Python Data Scientist Machine Learning 52

Tableau

MARCH 10, 2021

Chief Technology Officer, Tableau. One of the things we’re focused on at Tableau is how to get more people using data in the daily routine of business. We want to reduce those barriers by introducing a new class of analytics: Tableau Business Science. What is Tableau Business Science? Who is Tableau Business Science for?

Tableau 129

Tableau Data Science Hypothesis Testing Algorithm 129

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

Tableau

MARCH 10, 2021

Chief Technology Officer, Tableau. One of the things we’re focused on at Tableau is how to get more people using data in the daily routine of business. We want to reduce those barriers by introducing a new class of analytics: Tableau Business Science. What is Tableau Business Science? Who is Tableau Business Science for?

Tableau 52

Tableau Data Science Hypothesis Testing Algorithm 52