Python for Data Science - Timespro
Python for Data Science is a self-paced online certificate course by TimesPro designed to equip learners with the skills and knowledge needed to use Python for data analysis, visualisation, and machine learning. The course begins with Python fundamentals including installation, variables, data structures, control structures, functions, modules, exception handling, and file handling. Learners then progress to data manipulation using industry-standard libraries including NumPy for array operations and Pandas for dataframe creation, slicing, filtering, sorting, and merging. Data visualisation is covered through Matplotlib, enabling learners to create and interpret charts effectively. Beyond the technical toolkit, the curriculum addresses statistical analysis, data cleaning, preprocessing, exploratory data analysis, and an introduction to machine learning concepts. Coding best practices, documentation, version control, and ethical considerations in data science round out a comprehensive foundation for aspiring data scientists and analysts.
₹ 2,990
Overview
Python for Data Science is a comprehensive self-paced online certificate course by TimesPro that takes learners from foundational Python programming through to practical data science applications. The curriculum covers Python essentials, data manipulation with Pandas and NumPy, data visualisation with Matplotlib, statistical analysis, exploratory data analysis, and an introduction to machine learning. The programme also addresses professional practices including coding standards, version control, and data ethics, making it a complete and job-ready learning experience for aspiring data scientists and analysts.
Why Technology & Analytics?
This course offers exceptional value as one of the most affordable and thorough Python for Data Science programmes available. The curriculum is practical from the outset, covering the exact libraries and tools — NumPy, Pandas, and Matplotlib — that data professionals use daily. Rather than stopping at Python syntax, the programme extends into real data science workflows including data cleaning, EDA, and an introduction to machine learning, giving learners a genuinely complete skill set. The inclusion of coding best practices, documentation, and ethical considerations ensures learners are prepared not just technically but professionally. The self-paced format removes all scheduling barriers, making it accessible to students and working professionals alike.
What does this course have to offer?
Key Highlights
Covers Python fundamentals to data science applications
Hands-on with NumPy, Pandas, and Matplotlib
Data cleaning, preprocessing, and exploratory data analysis
Introduction to machine learning concepts
Coding best practices and version control
Ethical considerations in data science
Certification upon completion
Who is this programme for?
Aspiring data scientists and data analysts
Students and early-career professionals building Python skills
Professionals transitioning into data science roles
Developers looking to add data analysis capabilities
Anyone seeking a comprehensive Python for data science foundation
Minimum Eligibility
Open to all learners
No prior programming experience strictly required
Basic familiarity with computers is helpful
Suitable for aspiring data scientists and analysts
Ideal for professionals looking to add Python and data skills
Not sure whether you qualify for this programme?
Admission Overview
The enrolment process is open to all learners with no strict prerequisites. Learners register on the TimesPro platform, complete payment, and gain immediate access to the learning portal. The programme is structured as a single comprehensive module progressing through Python fundamentals, NumPy, Pandas, and Matplotlib in a logical and cumulative sequence. Learners must complete all content, quizzes, and assignments to qualify for the certificate of completion. The self-paced format allows learners to progress at a speed that suits their background and schedule.
How to apply?
Curriculum
The curriculum is structured as a single comprehensive module covering the full Python for Data Science stack. It begins with Python installation and core programming concepts, advances through data manipulation libraries, and concludes with data visualisation tools. The content is designed to build progressively, ensuring learners develop both syntactic fluency and applied data science competence across each topic area.
There are 1 semesters in this course
The programme opens with Python fundamentals, covering installation, an introduction to the language, variables, data types, programming constructs, operators, data structures, control structures, functions, modules, exception handling, and file handling. This foundation ensures learners can write and manage Python programmes confidently before progressing to data science libraries. The NumPy section introduces array-based computing, covering array creation, attributes, transformations, filtering, slicing, and arithmetic operations — skills essential for efficient numerical data processing. The Pandas section then builds on this by introducing dataframes, covering creation, slicing, filtering, data manipulation, sorting, and merging — the core operations for working with tabular datasets. The curriculum concludes with Matplotlib, introducing data visualisation principles and the practical creation of charts and graphs to communicate data insights effectively.
Python for Data Science
Programme Length
Self-paced; complete at your own convenience
Whom you will learn from?
Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.
Tuition Fee
The course is priced at Rs. 2,990 plus applicable taxes. This is a one-time payment covering full access to all course content, quizzes, assignments, and the certificate of completion. No additional charges for materials or assessments are mentioned. Learners are advised to make payments exclusively through official TimesPro channels.
Fee Structure
Payment options
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About the University
TimesPro, established in 2013, is a Higher EdTech platform by The Times Group focused on professional education in India. The institution offers diverse learning programs across early career courses, executive education, and enterprise solutions. Their programs span banking, finance, technology, analytics, and marketing sectors through partnerships with premier institutions like IIMs, IITs, and global universities
100,000+
alumni community
@210
course offerings
10*
streams
Affiliation & Recognition
100,000+
alumni community
@210
course offerings
10*
streams
Affiliation & Recognition
Career services
TimesPro provides extensive career support through dedicated placement assistance and industry connections. The institution focuses on developing industry-ready professionals through practical training, skill development, and career guidance. Their placement cell offers comprehensive support including interview preparation, profile enhancement, and direct connections with leading employers. The career services team works closely with over 3,500 corporate partners to ensure strong placement outcomes and career growth opportunities for students. Students receive personalized mentoring, soft skills training, and industry-specific preparation to enhance their employability.
10LPA
highest package
3500+
hiring partners
90%+
placement rate
100%
placement assistance
Top Recruiters
₹ 2,990
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.