1-Month Data Science Internship
By Codec Technologies
Categories: 1-month Internship
About Course
Complete your internship at your own flexible timing, and receive your certificate within 24 hours of application. For more information about our premium and verifiable certificates, visit:
https://codectechnologies.in/certificates
Get One click refund if you haven’t satisfied with program
https://codectechnologies.in/one-click-refund/
1-Month Data Science Internship Program
Week 1: Introduction to Data Science
- Welcome and Orientation
- Overview of Data Science and its importance
- Tools and software to be used during the internship
- Data Science Fundamentals: data types, structures, and statistical concepts
- Data collection methods
Week 2: Data Cleaning and Preprocessing
- Handling missing values
- Data transformation techniques
- Data normalization and standardization
- Introduction to Python for Data Science
- Basic Python programming concepts
- Libraries for Data Science: NumPy, Pandas
Week 3: Exploratory Data Science (EDA)
- Data visualization techniques
- Machine Learning Basics
- Using Pandas and Matplotlib for EDA
- Introduction to SQL: Basic SQL queries and data manipulation
Week 4: Final Project With codec technologies developers
Course Content
Generate Offer Letter
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Generate Offer Letter
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Study material and other benefits from codec technologies
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Week 1: Introduction to Data Science
Week 2: Data Cleaning and Preprocessing
Week 3: Exploratory Data Science (EDA)
Week 4: Advanced Data Science
Week 4: Final Project With codec technologies developers
Claim Internship Certificate
Student Ratings & Reviews
The Codec virtual internship is a highly structured, self-paced remote program designed to help students bridge the gap between academic theory and practical application. Spanning across a flexible timeline, the internship offers a diverse selection of technical tracks—ranging from web development to advanced artificial intelligence—making it highly accessible for students at various skill levels.
AWESOME
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Good
yes it is good and very usefull for understanding the terms of data science
it was good experience.
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Excellent Platform
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It was helpful
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Very good
It was amazing
It's good
it was great
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super and good environment to study
good
Good
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