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BIOLOGICAL DATA ANALYSIS WITH PYTHON AND R

Instructor Name

Dr.Omics
Category

Internships

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Course Requirements

  • Motivation to Learn: A strong desire to engage with and understand the material.
  • Basic Knowledge: Familiarity with biology and molecular biology concepts.
  • Interest in Technology: Eagerness to learn about the latest technologies in Next-Generation Sequencing (NGS).
  • Software: Free software will be utilized, so no additional software purchases are necessary.
  • Hardware: A laptop with a minimum of 4GB RAM and 100GB of hard disk space.

Course Description

  • Introduction to Python and R programming languages for bioinformatics.
  • Utilization of Biopython and Bioconductor for biological sequence analysis.
  • Hands-on projects to reinforce programming skills and solve biological problems.
  • Exploration of data manipulation techniques using Pandas library.
  • Accessing and retrieving biological data from NCBI databases.
  • Practical exercises for statistical analysis and data visualization in R.

Course Outcomes

  • Gain proficiency in Python programming for bioinformatics applications.
  • Understand the fundamentals of Biopython and its applications in biological sequence analysis.
  • Acquire skills in R programming for statistical analysis and data visualization in bioinformatics.
  • Familiarize with Bioconductor for sequence analysis, data retrieval, and statistical studies.
  • Gain hands-on experience in using various bioinformatics tools and databases for biological data analysis.
  • Develop the ability to apply programming and bioinformatics techniques to solve real-world problems in life sciences.

Rules & Regulations

  •  Attendance and Participation: Maintain a minimum of 75% attendance. Regular assessments and attendance contribute to performance evaluation.
  •  Discipline: Maintain punctuality and respect in live classes. Engage actively and interact respectfully with instructors and peers.
  • Course Fee Payment: Pay course fees on time to avoid suspension or cancellation of access.
  • Assignments: Complete assignments and projects sincerely and submit them on time.
  • Feedback and Communication: Maintain open communication with instructors and provide constructive feedback.
  • Certification: A certificate will be awarded upon course completion.

Course Curriculum DOWNLOAD BROCHURE

1 Introduction to Python
1 Hour

2 Data Types
1 Hour

3 String Handling
1 Hour

4 Data Structure
1 Hour

5 Data Structure
1 Hour

6 Control Structure
1 Hour

7 Function
1 Hour

8 File Handling
1 Hour

9 Data Manipulation
1 Hour

10 Data Visualization
1 Hour

1 Introduction and Installation of R
1 Hour

2 Data Types in R
1 Hour

3 Data Structure
1 Hour

4 File Handling
1 Hour

5 Control Structure
1 Hour

6 Function
1 Hour

7 Package Management
1 Hour

8 Data Manipulation
1 Hour

9 Data Visualization
1 Hour

10 Statistical Analysis
1 Hour

Instructor

Dr.Omics

0 Rating
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213 Students
44 Courses

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This course includes:

  • Live classes

  • For full fee and payment plan details, please contact us at 9310870544

  • Duration 1 Month

  • Skill Level Intermediate

  • Lectures 20 lessons

  • Full lifetime access

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