Data Science with Python
Learn data analysis, visualization, and machine learning using Python with hands-on training, and build real-world data-driven solutions.
Overview
Objective: Learn to automate functional, regression, and data-driven tests across multiple platforms using TestComplete and enhance efficiency in the software testing lifecycle.
Total Duration of the training: 24 Hours of Live, Interactive, Trainer-Led Sessions
Additional Components: 50+ Hours of MCQs and Assignments | 16 Hours of Hands-on Training with TestComplete
Master Functional Test Automation with TestComplete
This course helps professionals create robust, reusable, and maintainable automated test frameworks using TestComplete. Through practical exercises, participants will gain expertise in record and playback techniques, keyword-driven and data-driven testing, object recognition, and test reporting integration.
Course Outline
- Data science lifecycle and real-world applications
- Introduction to Python and environment setup (Jupyter, Anaconda)
- Overview of tools and workflows in data science
- Data types, variables, and control structures
- Functions, loops, and modules
- Working with lists, dictionaries, and tuples
- Introduction to NumPy for numerical computing
- DataFrames and Series
- Data cleaning and preprocessing
- Handling missing values and outliers
- Data transformation and aggregation
- Introduction to databases and SQL
- Writing queries (SELECT, WHERE, JOIN, GROUP BY)
- Integrating SQL with Python workflows
- Extracting and preparing data for analysis
- Data visualization with Matplotlib and Seaborn
- Identifying trends, patterns, and anomalies
- Statistical summaries and correlation analysis
- Feature relationships and insights
- Descriptive and inferential statistics
- Probability concepts and distributions
- Hypothesis testing
- Statistical thinking for decision-making
- Supervised vs unsupervised learning
- Regression and classification models
- Decision Trees and clustering basics
- Model evaluation metrics (accuracy, precision, recall)
- Implementing models using Scikit-learn
- Model training, validation, and tuning
- Feature engineering and selection
- Improving model performance
- Advanced visualization techniques
- Creating dashboards (conceptual overview)
- Communicating insights effectively
- Data storytelling for business impact
- Introduction to model deployment concepts
- Using models in real-world applications
- Basic API or dashboard deployment (high-level)
- Model lifecycle and maintenance
- Predictive analytics
- Customer segmentation
- Recommendation systems
- Industry-based case discussions
- Practical exercises for each module
- Working with real datasets
- Guided problem-solving sessions
- End-to-end data science project
- Data cleaning → analysis → modeling → visualization
- Present insights and business recommendations
- Feedback and improvement
- Data science interview questions
- Resume and portfolio building
- GitHub/project showcase guidance
- Career roadmap and job roles
Who Should Attend
- Quality Assurance Engineers and Testers
- Automation Test Engineers
- Software Developers involved in testing
- Manual testers transitioning to automation roles
- Professionals seeking TestComplete certification
Certification
Upon successful completion of the Data Science with Python Certification Training, participants will receive a Course Completion Certificate by GraspSkill recognizing their skills in data analysis, machine learning, and Python-based data science.
Benefits
- Adds credibility to your data science and analytics profile
- Enhances your resume for roles like Data Analyst, Data Scientist, and ML Engineer
- Demonstrates practical, job-ready skills to employers
- Supports career growth in data-driven industries
About Trainer
The training is delivered by a highly experienced Data Science professional with 8+ years of industry expertise in Python, machine learning, and data analytics, who has worked across sectors such as finance, healthcare, e-commerce, and technology, and specializes in predictive analytics, data modeling, and business intelligence, while being skilled in tools like Pandas, NumPy, and Scikit-learn, and is known for delivering interactive, hands-on sessions using real-world datasets, simplifying complex concepts, and mentoring professionals to become job-ready in data science roles.
Learning Outcomes
Data Science with Python
- Understand the complete data science lifecycle from data collection to insights
- Gain proficiency in Python programming for data analysis
- Work with libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn
Data Handling and Analysis
- Clean, preprocess, and transform real-world datasets
- Handle missing values, outliers, and data inconsistencies
- Perform exploratory data analysis (EDA) to identify patterns and trends
Statistics and Visualization
- Apply statistical techniques for data interpretation
- Create meaningful visualizations to communicate insights
- Use data storytelling to support business decisions
Machine Learning Skills
- Understand supervised and unsupervised learning concepts
- Build and evaluate models for regression and classification
- Improve model performance through tuning and validation
Practical Application
- Work with real-world datasets and case studies
- Develop end-to-end data science solutions
- Apply data-driven approaches to solve business problems
Career Readiness
- Build a strong data science portfolio with projects
- Gain confidence for roles such as Data Analyst, Data Scientist, and ML Engineer
- Prepare for technical interviews and real-world challenges
Student Reviews
"This course transformed how I approach automation. The instructor’s practical insights and structured learning path helped me design efficient, data-driven tests using TestComplete."
"The hands-on sessions were excellent! I learned to integrate TestComplete with Jenkins and Git, making automation easier to maintain in a real-world CI/CD setup."
"The Grasp Skill TestComplete program offered deep technical insights and practical project experience. The course exceeded my expectations in both depth and relevance."
"I highly recommend this training for anyone in QA automation. The instructor made advanced TestComplete topics simple and directly applicable to enterprise projects."
Frequently Asked Questions
This course provides hands‑on training in TestComplete, a leading automated testing tool, teaching you how to design, develop and execute automated test scripts for web, desktop and mobile applications.
It’s ideal for test engineers, QA professionals, automation testers, software developers and IT professionals who want to enhance their skills in automated testing using industry‑standard tools.
You’ll learn TestComplete fundamentals, creating and running automated tests, keyword and script‑based testing, object recognition, data‑driven testing, test debugging, reporting and integration with CI/CD pipelines.
Basic knowledge of software testing concepts is helpful and familiarity with scripting languages (like Python or JavaScript) can accelerate your learning, but beginners can succeed with guided training.
This training boosts your ability to automate testing workflows, enhances your employability in QA and testing roles and strengthens your profile for advanced quality assurance and automation positions.
Yes, upon successful completion, you will receive a certificate of completion that validates your TestComplete skills and boosts your professional credibility.
Recordings of live sessions are often provided, allowing you to review content later and stay aligned with the training schedule.
Yes. The online training is accessible worldwide.
Yes, there will be an assessment of 20 questions based on the training topics at the end of the course, you will have to score 75% to pass.
You will get 2 attempts to pass the test.
Group discounts are available to groups of more than three candidates. You can get up to 20% discount depending on the number of participants.
Yes, if you notify at least 24 hours in advance before the 1st class of the training and there is an availability in a different batch then you will be able to switch your start date.
Our courses are designed to provide high quality learning and outcomes that exceed expectations. If for some reason your expectations are not met. You will be given a refund in accordance with our 100% satisfaction policy.
You will receive meeting login for Zoom live classes and training materials.
All the participants will be added to WhatsApp/SMS group and email thread. You can clarify doubts at any time via WhatsApp, SMS or email.
Yes, we provide mentorship, doubt resolution and guidance for assessment preparation.
The digital certificate is issued immediately upon passing the assessment.
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Upcoming Schedules
| Date | Time | Duration | Mode | Price | Action |
|---|---|---|---|---|---|
| 09:00 – 13:00 Kolkata (UTC+5:30) | 15 Days. 4 hrs each day ( Total 60 Hours) Jun 15- Jun 30, 2026 | Live Online | $1,099.00 $799.00 |
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