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Data Science1

Data science is one of todays top careers. Get the training you need to get ahead—or stay on top—in fields such as data analysis, mining, visualization, and big data, using tools like Excel, R, Hadoop, and Python.
 

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javascript-course-for-beginner-to-expert-data-visualization

Machine learning ...

By : Satyendra singh

Basics of machine learning,Linear Regression,Logistic Regression, Naïve Bayes ,KNN a...

4 1364

6:1:56 hrs   19 lectures Expert Level   

javascript-course-for-beginner-to-expert-data-visualization

Learn MySQL from scratch for Data Science and Analytics...

By : Sekhar Metla (Microsoft Certified Professional) Sudha

Using MySQL Server RDBMS with Workbench to Become a SQL Expert on Queries for your Bu...

4 758

5:16:58 hrs   87 lectures All Level   

javascript-course-for-beginner-to-expert-data-visualization

Data Science with the TCLab...

By : John Hedengren

Data science introduction for scientists and engineers...

4.1 568736

1:12:54 hrs   17 lectures All Level   

javascript-course-for-beginner-to-expert-data-visualization

Learn Home Automation Using J.A.R.V.I.S AI With Arduino...

By : Arbaz Khan

Home Automation Using J.A.R.V.I.S AI Assistant With Arduino UNO Board...

4.3 8732

1:1:54 hrs   16 lectures Beginner Level   

javascript-course-for-beginner-to-expert-data-visualization

Learn Python for Data Science & Machine Learning from A-Z...

By : Juan Galvan

Become a professional Data Scientist and learn how to use NumPy, Pandas, Machine Lear...

4.7 7540

14:21:2 hrs   140 lectures All Level   

javascript-course-for-beginner-to-expert-data-visualization

Natural Language Processing (NLP) with Python...

By : Abdulhadi Darwish

Become an NLP Engineer by creating real projects using Python, semantic search, text ...

4.7 72013

2:38:12 hrs   71 lectures Beginner Level   

javascript-course-for-beginner-to-expert-data-visualization

Spotfire Interview Tech Questions Answered with Explanation...

By : Prince Patni

Answers with Detail Explanation to Actual Spotfire Interview Questions, beneficial fo...

4.2 92177

25 lectures All Level   

javascript-course-for-beginner-to-expert-data-visualization

Python For Data Analysis and Data Science: Zero To Mastery W...

By : Pruthviraja L

A Practical Approach To Learn Pandas From Basic To Advanced Level With 100 + Exercise...

4.8 45927

15:44:16 hrs   103 lectures All Level   

javascript-course-for-beginner-to-expert-data-visualization

Statistics for Data Scientists and Data Analysts...

By : Phikolomzi Gugwana

Histograms, Box Plot and Descriptive Statistics in R...

4.8 73163

31 lectures Intermedite Level   

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Frequently asked questions
  • What is Data Science?

    Data Science is a multidisciplinary field that involves extracting insights and knowledge from structured and unstructured data. It combines expertise from statistics, mathematics, programming, and domain-specific knowledge to analyze and interpret complex data sets.

  • What are the key steps in the Data Science process?

    The Data Science process typically involves steps like data collection, cleaning, exploratory data analysis, feature engineering, model building, evaluation, and deployment. This iterative process aims to extract valuable insights and predictions from data.

  • Which programming languages are commonly used in Data Science?

    Common programming languages in Data Science include Python and R. They offer extensive libraries and frameworks, such as NumPy, pandas, scikit-learn (Python), and tidyverse (R), supporting various aspects of data manipulation, analysis, and machine learning.

  • What is Machine Learning in Data Science?

    Machine Learning is a subset of Data Science that focuses on creating algorithms and models that enable systems to learn and make predictions or decisions without explicit programming. It involves supervised learning, unsupervised learning, and reinforcement learning.

  • How does Data Science contribute to business decision-making?

    Data Science plays a crucial role in business decision-making by providing data-driven insights. It helps businesses understand customer behavior, optimize processes, forecast trends, and make informed decisions based on patterns and trends identified in the data.

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