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9 important plots in data science

Data Science Dojo

KS Plot (Kolmogorov-Smirnov Plot): The KS Plot is a powerful tool for comparing two probability distributions. This plot is particularly useful for tasks like hypothesis testing, anomaly detection, and model evaluation. Explore, analyze, and visualize data using Power BI Desktop to make data-driven business decisions.

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A Guide to Choose the Best Data Science Bootcamp

Data Science Dojo

They cover a wide range of topics, ranging from Python, R, and statistics to machine learning and data visualization. These bootcamps are focused training and learning platforms for people. Nowadays, individuals tend to opt for bootcamps for quick results and faster learning of any particular niche.

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Popular Statistician certifications that will ensure professional success

Pickl AI

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. months (INR 30,000) Offers self-paced learning and live guidance sessions. You will learn by practising Data Scientists.

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The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

Pickl AI

Proficient in programming languages like Python or R, data manipulation libraries like Pandas, and machine learning frameworks like TensorFlow and Scikit-learn, data scientists uncover patterns and trends through statistical analysis and data visualization. Data Visualization: Matplotlib, Seaborn, Tableau, etc.

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Data Analysis vs. Data Visualization – More Than Just Pretty Charts

Pickl AI

Modeling & Algorithms: Applying statistical models (like regression, classification, clustering) or Machine Learning algorithms to identify deeper patterns, make predictions, or classify data points. This helps formulate hypotheses.

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Big Data Syllabus: A Comprehensive Overview

Pickl AI

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.

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Top 50+ Data Analyst Interview Questions & Answers

Pickl AI

It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques. Statistical Analysis: Learn the Central Limit Theorem, correlation, and basic calculations like mean, median, and mode. The median is the middle value in a sorted list of numbers.