Pickl AI

OCTOBER 14, 2024

Techniques Hypothesis Testing: Determining whether enough evidence supports a specific claim or hypothesis. Machine Learning: Utilising algorithms that improve predictions through learning from data. Techniques: Optimisation Algorithms: Identifying the most efficient way to achieve objectives.

Data Analysis 52

Data Analysis Data Analysis EDA Data Mining 52

Pickl AI

JULY 25, 2023

With expertise in Python, machine learning algorithms, and cloud platforms, machine learning engineers optimize models for efficiency, scalability, and maintenance. They possess a deep understanding of statistical methods, programming languages, and machine learning algorithms. Data Visualization: Matplotlib, Seaborn, Tableau, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

AUGUST 9, 2024

Statistical Analysis Introducing statistical methods and techniques for analysing data, including hypothesis testing, regression analysis, and descriptive statistics. Machine Learning Algorithms Basic understanding of Machine Learning concepts and algorithm s, including supervised and unsupervised learning techniques.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 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

DECEMBER 4, 2024

Concepts such as probability distributions, hypothesis testing, and regression analysis are fundamental for interpreting data accurately. Machine Learning Understanding Machine Learning algorithms is essential for predictive analytics. Data Visualisation Communicating findings effectively through visualisation tools (e.g.,

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

SEPTEMBER 23, 2024

Understanding Data Science Data Science is a multidisciplinary field that uses scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Finance In finance, Data Science is critical in fraud detection, risk management, and algorithmic trading.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Science Machine Learning 52

Pickl AI

APRIL 26, 2024

Then, I would explore forecasting models such as ARIMA, exponential smoothing, or machine learning algorithms like random forests or gradient boosting to predict future sales. Advanced Technical Questions Machine Learning Algorithms What is logistic regression, and when is it used? Lifetime access to updated learning materials.

Data Analyst 52

Data Analyst Data Analysis Data Analysis 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. To obtain practical expertise, run the algorithms on datasets. After that, move towards unsupervised learning methods like clustering and dimensionality reduction.

Data Science 52

Data Science Python Data Scientist Machine Learning 52

Pickl AI

JULY 28, 2023

Methodology: Explain the techniques, algorithms, or statistical methods you applied during the analysis. 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.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Data Visualization 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

Visualizations also aid in evaluating model performance, comparing different algorithms, and interpreting model predictions. It helps in illustrating data transformations, statistical techniques, or Machine Learning algorithms in a visual and intuitive manner.

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