California Institute of Genetics
California Institute of Genetics
  • Home
  • Genetics & Genomics
  • Genomic Data Analysis
  • Contact us
  • More
    • Home
    • Genetics & Genomics
    • Genomic Data Analysis
    • Contact us
  • Home
  • Genetics & Genomics
  • Genomic Data Analysis
  • Contact us

Certificate in Genomic Data Analysis: 3 months online live i

Program Description:

The Certificate in Genome Data Analysis (GDA) is a 3-month, online, advanced-level program designed to equip students with the necessary skills and knowledge to analyze and interpret large-scale genomic data. Geared towards those with a strong foundation in data analytics, this program focuses on applying computational tools and techniques to solve complex biological problems in genomics.


Through a comprehensive curriculum that covers key aspects of genome data processing, students will learn how to work with DNA sequences, gene expression data, and other types of genomic information. With an emphasis on hands-on experience and practical applications, students will be trained in cutting-edge bioinformatics tools and techniques used in the analysis of genomic data, including genome sequencing, variant calling, and functional genomics.


Duration: 3 months
Format: Online, synchronous with mentoring and live sessions
Requirement: Strong background in data analytics or relevant field


By the end of the program, students will be equipped with the technical expertise to enter the growing field of genomic data analysis, contributing to advances in precision medicine, drug discovery, and personalized healthcare.
 

By completing this program, students will enter a fast-growing field with high demand for skilled professionals in genomic data analysis, contributing to advancements in precision medicine, personalized healthcare, and cutting-edge genomic research.

This program offers students the opportunity to specialize in one of the most promising and rapidly evolving fields in the life sciences, preparing them to contribute to significant breakthroughs in healthcare and biotechnology.

Program Highlights:

  • Duration: 3-month comprehensive program, fully online.
  • Curriculum: Covers essential bioinformatics and genomic data analysis techniques. 
  • Tools & Techniques: Learn to work with genomic datasets, including sequencing data, gene expression, and variant calling.
  • Hands-on Projects: Gain practical experience through real-world case studies and capstone projects.
  • Industry-Relevant Skills: Emphasis on industry tools and technologies like GATK, BEDTools, and UCSC Genome Browser.
  • Flexible Learning: Online format with asynchronous learning and optional mentoring for personalized support. 
  • Expert Faculty: Learn from experienced instructors and professionals in the field of bioinformatics.
     

Register

Certificate in Genomic data analysiS (3 months online)

Week 1

Foundations of Genomics & Bioinformatics

-Live Instruction

Event Details

Week 1

Foundations of Genomics & Bioinformatics

 

  • Genome architecture: prokaryotic vs eukaryotic
  • Overview of omics data types: DNA-seq, RNA-seq, ChIP-seq
  • NCBI, Ensembl, UCSC: gene annotation ...

Event Details

-Live Instruction

Week 2

Linux & Shell Scripting for Genomic Workflows

-Live Instruction

Event Details

Week 2

Linux & Shell Scripting for Genomic Workflows

 

  • Introduction to Unix/Linux for bioinformatics
  • File handling, regular expressions, wildcards, pipe 
  • Writing and running bash scripts for autom...

Event Details

-Live Instruction

Week 3

Quality Control & Preprocessing of NGS Data

Live Instruction

Event Details

Week 3

Quality Control & Preprocessing of NGS Data

 

  • Base quality scores, overrepresented sequences, GC content
  • Tools: FastQC, MultiQC, Trimmomatic
  • Adapter trimming and filtering low-quality rea...

Event Details

Live Instruction

Week 4

Reference-Based Alignment (DNA & RNA)

Live Instruction

Event Details

Week 4

Reference-Based Alignment (DNA & RNA)

 

  • Concepts: indexing, mapping, mismatch penalties, splice-aware alignment
  • DNA: BWA-MEM, Bowtie2 | RNA: STAR
  • Introduction to SAM/BAM, sorting, i...

Event Details

Live Instruction

Week 5

RNA-Seq Quantification & Expression Matrix Generation

Live Instruction

Event Details

Week 5

RNA-Seq Quantification & Expression Matrix Generation

 

  • Pseudo-alignment with Kallisto & Salmon
    TPM, FPKM, and raw count matrices
  • Introduction to transcript quantification and differential express...

Event Details

Live Instruction

Week 6

Variant Calling & Filtering

-Live Instruction

Event Details

Week 6

Variant Calling & Filtering

 

  • SNPs, indels, variant detection pipeline
  • Tools: bcftools, GATK HaplotypeCaller (basic intro)
  • VCF file parsing, variant filtering
  • Hands-on vari...

Event Details

-Live Instruction

Week 7

Variant Annotation & Functional Impact

-Live Instruction

Event Details

Week 7

Variant Annotation & Functional Impact

 

  • Variant annotation using Ensembl VEP
  • Introduction to SIFT, PolyPhen, CADD scores
  • Databases: ClinVar, dbSNP, gnomA 
  • Interpreting disease releva...

Event Details

-Live Instruction

Week 8

Differential Gene Expression Analysis

Live Instruction

Event Details

Week 8

Differential Gene Expression Analysis

 

  • Normalization methods: DESeq2, edgeR
  • Design matrix and contrast setup
  • Interpreting p-values, log2FC, and volcano plots
  • Gene-level statistics a...

Event Details

Live Instruction

Week 9

Functional Enrichment & Pathway Analysis

Live Instruction

Event Details

Week 9

Functional Enrichment & Pathway Analysis

 

  • Gene Ontology (GO): BP, MF, C 
  • KEGG, Reactome, MSigDB for pathway insight 
  • Tools: gProfiler, clusterProfile 
  • GO over-representation and GSEA m...

Event Details

Live Instruction

Week 10

Multi-Omics Integration (Overview)

Live Instruction

Event Details

Week 10

Multi-Omics Integration (Overview)

 

  • Basic concepts: combining RNA-seq, DNA-seq, methylation, proteomics
  • Case study: expression + variant data integration
  • Visualization of integr...

Event Details

Live Instruction

Week 11

Data Visualization & Reporting

-Live Instruction

Event Details

Week 11

Data Visualization & Reporting

 

  • Tools: R/ggplot2, seaborn/matplotli 
  • Visualizing QC, expression, and variants
  • Heatmaps, PCA, clustering, volcano plots, track visualization (...

Event Details

-Live Instruction

Week 12

Reproducible Bioinformatics Workflows

-Live Instruction

Event Details

Week 12

Reproducible Bioinformatics Workflows

 

  • Best practices: documentation, version control, folder structure
  • Workflow managers: Introduction to Snakemake or Nextflow
  • File naming convent...

Event Details

-Live Instruction

certificate in Genomic Data Analysis - fast track online

Career Opportunities

The Certificate in Genomic Data Analysis (GDA) with strong courses over 3  months can help students become competitive for entry-level roles in the USA, as the program is designed with hands-on training, real-world projects, and professional development support.

Strengths That Make the Program Job-Oriented:

Skill-Based Curriculum:

Covers core domains employers care about — data QC, genome assembly, variant analysis, RNA-seq, and functional interpretation — which are directly aligned with job descriptions in genomics, bioinformatics, and biotech.

Practical Tools and Workflows:

Students are trained on widely used tools like FastQC, Trimmomatic, BWA, STAR, GATK, DESeq2, ANNOVAR, and use real genomic datasets and they will be job-ready.

In-Demand Roles Aligned with the Certificate:

Graduates may qualify for roles such as:

Genomic Data Analyst

Bioinformatics Technician

Research Assistant in Genomics

NGS Lab Associate

Clinical Genomics Data Entry/Analyst 

Remote Job Potential:

Many bioinformatics entry jobs and internships are available as remote roles in academic labs, CROs, and biotech startups across the U.S.

Capstone Project 

A final project using public datasets (e.g. from 1000 Genomes or TCGA) to demonstrate end-to-end analysis.

Portfolio Development

Students should host code on GitHub and write short case studies on analyses done.

Resume on LinkedIn help students position themselves for genomics roles.

Focused on bioinformatics pipelines, tool usage, and basic scripting (bash, R, Python).

Summary:

This certificate course is sufficient for entry-level jobs in genomic data analysis in the United States.

Program fee: $324 -Unlock early bird offer below

Attach Academic Transcript
Attachments (0)

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

3 months Certificate in Genomic Data Analysis

Unlock Promotional Offer $108

Unlock the future of healthcare with the cutting-edge by studying Certificate in Genome Data Analysis - 3 months online. Dive deep into the integration of artificial intelligence and genomics, and gain hands-on experience in predicting genetic disorders, precision medicine and A in Genomic Data Analysis. 

Register for the Program

Copyright © 2025. All Rights Reserved. California Institute of Genetics LLC, USA

  • Home
  • Genomic Data Analysis
  • Contact us
  • Director's Message
  • Privacy Policy
  • Terms and Conditions

This website uses cookies.

We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.

Accept