Master Data Analysis with Pandas
Master Pandas for real-world data analysis — loading, cleaning, reshaping, merging and summarising data efficiently in Python.
Start Learning
Join learners who transformed their careers with MITS Edge.
Program Overview
Data Analysis with Pandas is an intermediate-level live online course running 7 weeks (48 hrs), priced at $650 USD, taught by instructors in evening and weekend cohorts for learners in the US and Canada, with a certificate of completion.
Master Pandas for real-world data analysis — loading, cleaning, reshaping, merging and summarising data efficiently in Python. What you will build: a messy-data cleanup, a multi-source merge and a sales-trend analysis report. Tools and technologies: Python, Pandas, NumPy, Matplotlib, Jupyter. Format: 48 hours of live, instructor-led online training over about 7 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 Analyst, Python Analyst, Junior Data Scientist, Operations Analyst. Resume review and interview guidance are available to all learners.
Course Highlights
- 48 hours of live instructor-led training
- Hands-on projects and real-world labs
- Tools: Python, Pandas, NumPy
- Certificate of completion
- Career guidance for US & Canada job market
- Recorded sessions and mentor support
Minimum Requirements
- Basic Python
- Laptop or desktop with stable internet
Who is this for ?
- Python users working with tabular data
- Excel power users moving to code
- Analysts automating recurring reports
Curriculum
Course Curriculum
5 modules · 21 topics0 hours total
- 1Series and DataFrames
- 2indexing and selection
- 3reading CSV, Excel and JSON
Industry-Recognized
Certification
Upon successful completion, you receive a certificate of completion for the Data Analysis with Pandas 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 Data Analysis with Pandas course cost?
The Data Analysis with Pandas course costs $650 (USD) for 7 Weeks (48 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 Data Analysis with Pandas?
You will build a messy-data cleanup, a multi-source merge and a sales-trend analysis report.
Which tools and technologies does Data Analysis with Pandas cover?
Data Analysis with Pandas covers Python, Pandas, NumPy, Matplotlib, Jupyter.
Is the Data Analysis with Pandas course online or in person?
The Data Analysis with Pandas 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 Data Analysis with Pandas course?
The Data Analysis with Pandas program runs for 7 Weeks (48 hrs). Cohorts are scheduled in the evenings and on weekends to fit around a full-time job.
What level is the Data Analysis with Pandas course — is it suitable for beginners?
The Data Analysis with Pandas program is pitched at a intermediate level. Some prior familiarity helps, and the curriculum builds toward job-ready skills.
Do I get a certificate after completing Data Analysis with Pandas?
Yes — you receive a verifiable certificate of completion for the Data Analysis with Pandas program, which you can share with employers and add to your LinkedIn profile.
Does the Data Analysis with Pandas 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 Data Analysis with Pandas?
Recommended prerequisites: Basic Python; 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.
Related Courses
Big Data with Hadoop
Learn the Hadoop ecosystem — HDFS, MapReduce, YARN, Hive and Pig — and how large-scale batch data processing works in enterprise data platforms.
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.
Kafka Stream Processing
Build real-time data pipelines with Apache Kafka — topics, producers, consumers, Kafka Connect and stream processing patterns used in modern event-driven architectures.
Data Engineering with Apache Airflow
Design, schedule and monitor reliable data pipelines with Apache Airflow, and learn the core data engineering practices behind modern ELT workflows.