Master Apache Spark for Big Data
Process large datasets fast with Apache Spark — DataFrames, Spark SQL and structured streaming — and learn to tune jobs for performance on real clusters.
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Program Overview
Apache Spark for Big Data is an advanced-level live online course running 8 weeks (60 hrs), priced at $800 USD, taught by instructors in evening and weekend cohorts for learners in the US and Canada, with a certificate of completion.
Process large datasets fast with Apache Spark — DataFrames, Spark SQL and structured streaming — and learn to tune jobs for performance on real clusters. What you will build: a large-scale ETL job, a streaming aggregation and a performance-tuning exercise. Tools and technologies: Apache Spark, PySpark, Spark SQL, Structured Streaming, Delta Lake, Databricks Community Edition. Format: 60 hours of live, instructor-led online training over about 8 weeks, in evening and weekend cohorts for learners in the US and Canada, with hands-on labs, recorded sessions and mentor support. Career pathways: Data Engineer, Spark Developer, Big Data Engineer, Analytics Engineer. Resume review and interview guidance are available to all learners.
Course Highlights
- 60 hours of live instructor-led training
- Hands-on projects and real-world labs
- Tools: Apache Spark, PySpark, Spark SQL
- Certificate of completion
- Career guidance for US & Canada job market
- Recorded sessions and mentor support
Minimum Requirements
- Python and SQL
- Laptop or desktop with stable internet
Who is this for ?
- Data engineers and analysts scaling up
- Python developers entering big data
- Hadoop users modernising their stack
Curriculum
Course Curriculum
5 modules · 22 topics0 hours total
- 1Driver and executors
- 2lazy evaluation
- 3RDDs vs DataFrames
Industry-Recognized
Certification
Upon successful completion, you receive a certificate of completion for the Apache Spark for Big Data program that you can share with employers and add to your LinkedIn profile — a record of the hands-on skills and projects you completed.
- Verifiable ID: Unique credential link for LinkedIn.
- Skill Validation: Proof of hands-on project completion.
- Corporate Branding: CO-branded with your company logo.
Student Reviews
Why learn this online
Data analytics is one of the most accessible entry points into a tech career because the core tools — SQL, spreadsheets, and BI platforms like Power BI or Tableau — are learnable in months and do not require heavy programming. Learning online in a live cohort keeps you accountable while you build a portfolio of dashboards and analyses that prove your ability to turn data into decisions.
Who this is for
- ✓Business and operations professionals
- ✓Non-coders wanting a data career
- ✓Career switchers who want a faster on-ramp
Career outcomes
- Data Analyst
- Business Intelligence Analyst
- Analytics Engineer
- Reporting Analyst
Frequently asked questions
How much does the Apache Spark for Big Data course cost?
The Apache Spark for Big Data course costs $800 (USD) for 8 Weeks (60 hrs) of live, instructor-led online training. The fee covers live classes, recorded sessions, hands-on projects, mentor support and the certificate of completion.
What projects will I build in Apache Spark for Big Data?
You will build a large-scale ETL job, a streaming aggregation and a performance-tuning exercise.
Which tools and technologies does Apache Spark for Big Data cover?
Apache Spark for Big Data covers Apache Spark, PySpark, Spark SQL, Structured Streaming, Delta Lake, Databricks Community Edition.
Is the Apache Spark for Big Data course online or in person?
The Apache Spark for Big Data program is delivered live and online with instructor-led sessions, so you can join from anywhere in the US, Canada, or beyond. Sessions are interactive and recordings are available for review.
How long is the Apache Spark for Big Data course?
The Apache Spark for Big Data program runs for 8 Weeks (60 hrs). Cohorts are scheduled in the evenings and on weekends to fit around a full-time job.
What level is the Apache Spark for Big Data course — is it suitable for beginners?
The Apache Spark for Big Data program is pitched at a advanced level. Some prior familiarity helps, and the curriculum builds toward job-ready skills.
Do I get a certificate after completing Apache Spark for Big Data?
Yes — you receive a verifiable certificate of completion for the Apache Spark for Big Data program, which you can share with employers and add to your LinkedIn profile.
Does the Apache Spark for Big Data course include placement or career support?
Yes. MITS Edge programs include career support — resume reviews, mock interviews, and job-search guidance aligned to the US and Canadian hiring markets.
Do I need any prior experience to join Apache Spark for Big Data?
Recommended prerequisites: Python and SQL; Laptop or desktop with stable internet.
Do I need to code to work in data analytics?
Not heavily. The essentials are SQL, spreadsheets, and a BI tool. Light Python helps for larger datasets but is not required to get started or hired.
How is data analytics different from data science?
Analytics focuses on interpreting existing data to answer business questions, while data science builds predictive models. Analytics is a common, lower-barrier first step toward data science.
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