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.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Pickl AI

JULY 25, 2023

Statistical Analysis: Hypothesis testing, probability, regression analysis, etc. Machine Learning: Supervised and unsupervised learning techniques, deep learning, etc. TensorFlow, Scikit-learn, Pandas, NumPy, Jupyter, etc. Excel, Tableau, Power BI, SQL Server, MySQL, Google Analytics, etc.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Pickl AI

AUGUST 9, 2024

Students should learn about data wrangling and the importance of data quality. Statistical Analysis Introducing statistical methods and techniques for analysing data, including hypothesis testing, regression analysis, and descriptive statistics. Students should learn about neural networks and their architecture.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 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. Are there any areas in data analytics where you want to improve or learn more? Access to IBM Cloud Lite account.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52