Data

4 courses

Working with Different Files as Data Sources in C++

Dive into the dynamic world of data with C++! This thrilling course empowers data scientists to master handling text, CSV, JSON, and large datasets, unleashing the power of efficient data manipulation, storage, and processing for cutting-edge applications.

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This learning path includes:

4 courses with bite-sized lessons and practices

16 engaging lessons in text and video formats

67 hands-on practices

One-on-one guidance from Cosmo, our AI tutor

Verified skills you'll gain

DEVELOPING

Big Data Processing

INTERMEDIATE

Data Ingestion and Extraction

Tools you'll use

C++

Trusted by learners working at top companies

4 lessons

17 practices

Fundamentals of Text Data Manipulation in C++

Explore the basics of text data manipulation using C++. Learn how to efficiently read from and write to files, working with line-by-line and character-by-character parsing methods to build a solid foundation in handling textual data in C++.

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4 lessons

19 practices

Parsing Table Data in C++

Master parsing and writing techniques for scientific data using both TXT and CSV formats. This course provides practical skills for working with tabular data, ensuring you can manage various structured data files effectively.

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4 lessons

16 practices

Parsing JSON with C++

Dive into JSON, XML, and scientific data storage. Discover how to parse, construct, and store structured data formats, leveraging C++'s capabilities to manage complex datasets essential for data-driven applications.

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4 lessons

15 practices

Large Data Handling Techniques in C++

Learn efficient techniques for managing large datasets. From compressed file management with `zipfile` to batch processing, this course equips you to handle data at scale.

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Meet Cosmo: The smartest AI guide in the universe

Our built-in AI guide and tutor, Cosmo, prompts you with challenges that are built just for you and unblocks you when you get stuck.

Whether you’re leveling up or just starting out, find your next step here.