Data Science Dojo

APRIL 18, 2023

They should be proficient in using tools like Tableau, PowerBI, or Python libraries like Matplotlib and Seaborn to create visually appealing and informative dashboards. Data visualization is the process of presenting data in a visual format such as charts, graphs, or maps.

Data Analyst 195

Data Analyst Data Visualization Data Analysis Data Analysis 195

Data Science Dojo

JULY 3, 2024

Tools like Tableau, Power BI, and Python libraries such as Matplotlib and Seaborn are commonly taught. Machine Learning : Supervised and unsupervised learning algorithms, including regression, classification, clustering, and deep learning. Tools and frameworks like Scikit-Learn, TensorFlow, and Keras are often covered.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Pickl AI

JULY 10, 2023

Hence, you can use R for classification, clustering, statistical tests and linear and non-linear modelling. It provides functions for descriptive statistics, hypothesis testing, regression analysis, time series analysis, survival analysis, and more. How is R Used in Data Science?

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 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

OCTOBER 14, 2024

Clustering: Grouping similar data points to identify segments within the data. 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.

Data Analysis 52

Data Analysis Data Analysis EDA Data Mining 52

Pickl AI

JULY 25, 2023

These models may include regression, classification, clustering, and more. Statistical Analysis: Hypothesis testing, probability, regression analysis, etc. Data Visualization: Matplotlib, Seaborn, Tableau, etc. Excel, Tableau, Power BI, SQL Server, MySQL, Google Analytics, etc.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Pickl AI

AUGUST 9, 2024

Some of the most notable technologies include: Hadoop An open-source framework that allows for distributed storage and processing of large datasets across clusters of computers. Statistical Analysis Introducing statistical methods and techniques for analysing data, including hypothesis testing, regression analysis, and descriptive statistics.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52