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Data Science online training

Course Description

If you are looking for focus Predictive Modelling data science online training, then its Qshore data science online training  is the right place.  Data Science Specialization training in Hyderabad, which covers all data science concepts and how to use software tools like, R, Python, Business intelligence - Market intelligence. Qshore is also known to be a niche analytics training provider, and exclusively training on analytics and data science.

Data science, also known as data-driven science, is an interdisciplinary field about scientific methods, processes, and systems to extract knowledge or insights from data in various forms, either structured or unstructured, similar to data mining.
First, let’s see How is this different from what statisticians have been doing for years?


Qshore have the expert certified faculty of analytics, data science, big data experts and courses are all created and curated by them.

What is Data science course?

The following is a comprehensive list of Data Science courses and resources that explain or teach skills within Data Science online training from Qshore, such as machine learning, data mining, analytics, cleaning, visualization, scraping, using APIs to make data products, artificial intelligence.

What You'll Learn:

1.How to load and clean real-world data.
2.How to make reliable statistical inferences from noisy data.
3.How to use machine learning to learn models for data.
4.How to visualize complex data.
5.How to use Apache Spark to analyze data that does not fit within the memory of a single computer.



Prerequisites to Learn Data science:

1.Math (e.g. linear algebra, calculus and probability).
2.Statistics (e.g. hypothesis testing and summary statistics).
3.Machine learning tools and techniques (e.g. k-nearest neighbors, random forests, ensemble methods, etc.).
4.Software engineering skills (e.g. distributed computing, algorithms and data structures).
5.Data mining.
6.Data cleaning and munging.
7.Data visualization (e.g. ggplot and d3.js) and reporting techniques.
8.Unstructured data techniques.
9.R and/or SAS languages.
10.SQL databases and database querying languages.
11.Python (most common), C/C++ Java, Perl.
12.Big data platforms like Hadoop, Hive & Pig.
13.Cloud tools like Amazon S3.


Course features:

Exclusive doubt clarification session on every weekend
Real-Time Case Study driven approach

Placement Assistance

 Course content Download PDF:

Course Duration:90Hours

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