Python Data Science Training

Welcome to Learn Python Data Science, the place to get prepared for many types of data science positions.
View our detailed coursework to discover the potential of Python in data science.
Experienced a blended learning model that combines both theory and practice.
Have practical experience from data science projects on real-life cases.
Improve your job prospects and enroll in our course in data science training.

Industry Oriented Curriculum

About the Course

Python data science courses

Learn more about Python data science courses and training at Scoopen to ensure you acquire the right skills in Python programming for data science. Our courses provide extensive coverage of Python data science training mostly on Numpy, Pandas, and Matplotlib among others with emphasis on the application of these tools in data analysis and visualization. You will apply your skills on real-time industry-focused projects preparing you for Python data science positions.

Overview of the Data Science Field

The career statistics of data science are as mind-boggling as their industry ones. Speaking of the former, per reports, the employment rate of data scientists is estimated to grow by a whopping 35-37 percent until 2031! The rate is considered a much faster one than the average across many other occupations worldwide. As a certified data scientist and based on your experience and knowledge, you may qualify for a range of other positions like data analyst, data architect, statistician, etc.

The Role of Python in Data Science

Python has a significant role to play in data science applications. Hence, undergoing Python data science training can help enhance your employment and career prospects. But why is Python developers’ favorite while developing data science applications? The answer is in the benefits Python offers. Here are some.

Python’s innate simplicity and readability
The rich collection of libraries
Jupyter Notebook – an open-source web application for writing expressive codes
Superlative tool for Enterprise Application Integration (EAI)
Extensive community support
Data Analysis and Visualization
Machine Learning with Python

Why Choose Our Python Data Science Courses?

Quality Education and Curriculum: Quality is the most significant aspect of our learning approach. We ensure quality education through various factors like updated curriculum, excellent training, hands-on approach, practical exposure, etc., and ensure students have a memorable learning experience with us.
Hands-On Practical Approach: We provide students the exposure to industry-relevant tools and technologies to ensure they learn what the industry expects them to know.
Industry-Relevant Projects: Our students also are assigned challenging industry-relevant projects so that they are prepared for real-world challenges.
Expert Instructors: We have carefully selected instructors who work dedicatedly and sincerely toward building careers and transforming students into comprehensive data science professionals.
Networking and Career Opportunities: While our learning environment enables students to build their professional network, our internships and placements unlock the door to lucrative and promising career opportunities.
Post-Course Support and Resources: We handhold our students even after they step out of the institute by providing them with resources and career-related assistance. Thus, once with us, you will remain a part of our family!

Course Syllabus and Duration

Duration - 5-6 Months
Morning batches are scheduled from 8-10 AM (4 sessions in a week)

Python Data Science Syllabus

Facilities and Learning Environment

Access to Data Science Tools and Software

We provide access to a range of data science tools and software including RapidMiner, TensorFlow, Tableau, KNIME, Apache Hadoop, NumPy, Matplotlib, and more.

Collaborative Learning Environment

We are a modern learning hub encouraging students to collaborate and study, work, and devise solutions as a team, thus enhancing their capabilities as team players.

Python Data Science Training Options

Full Time Courses

We provide courses for aspirants who wish to dedicate a sizable amount of their time throughout the day to pursue Python data science training. Our full-time courses also are scheduled strategically to make learning more convenient and flexible for students.

Part-Time Courses

You may want to enroll in our part-time Python data science courses if you are a student elsewhere or a working professional. We also conduct part-time batches to cover everyone aspiring to become a Python data science professional.

Weekend Workshops

Do you only have time on weekends? Then, you may join our weekend workshops and learn data science with Python. We have faculty members, conducting weekend workshops, exclusively for those who cannot find the time to learn during weekdays.

Who Can Apply to Our Course

The demand for professionals proficient in data science with Python programming skills has skyrocketed, making this course suitable for participants at all levels of experience.

Whether you’re an analytics professional eager to delve into Python, software or IT professional venturing into analytics, or simply someone passionate about data science, this course is tailored for you.

Admission Process

• How to Enroll?

Here is the enrollment process.

Course Fees and Payment Options

The course fees are INR 40,000 and can be paid in 2 installments.

Admission Requirements

To enroll, the candidate should produce a valid Aadhar Card.

About our Python Data Science courses

Introduction to Your Training Center

We resonate with the needs of our students and accordingly have developed a comprehensive training center with well-equipped practical labs, maintained classrooms and a fresh learning environment.

Expertise in SAP SD

We nurture a team of SAP SD specialists and the necessary infrastructure to build student expertise in SAP SD and related aspects.

Location and Facilities

Our centrally-located training center is accessible from all directions of the city. Besides, our students enjoy facilities like hygienic washrooms, access to clean water, parking, well-ventilated classrooms, etc.

Instructors and Industry Experience

Our instructors have abundant industry experience in working in various projects and for reputed companies. While building technical skills, these trainers also share their industry experiences to add value to the learning process.

Python Data Science Certification

After the completion of our Python Data Science Course for the candidate, we will offer the candidate an industry-approved course completion certificate. This qualification certifies proficiency in Python programming with data science, making employment seekers qualified for the available job offers. It proves that you are familiar with diverse important methods, frameworks, and guidelines in data science. Moreover, certification will help you to make your resume and/or LinkedIn profile more attractive; you will be able to indicate your desire to improve your competencies and acquire practical experience in real-life database tasks.

Need Expert Industry Consultation?

Our team features trainers with over 12 years of experience, who utilize practical examples to enhance the training process. These globally certified professionals possess exceptional knowledge, skills, and expertise. They employ a project-based learning approach to engage participants in highly interactive sessions, ensuring a comprehensive and immersive learning experience.

Python Data Science Course FAQs

What is the importance of learning Python for Data Science?

Python can be used in Data Science because it is easy to code, has suitable libraries such as NumPy and Pandas, has stiff community backing, and can interface with other computer languages such as SQL.

Who are the instructors in Scoopen for the Python Data Science course?

The instructors of the Python Data Science course offered at Scoopen are trainers in data science who have practical experience in Python.

Which Python course is best for data science?

The most suitable Python course for data science generally introduces bases like NumPy, Pandas, matplotlib, and scikit-learn besides creating projects. Based on the chosen criteria, Scoopen’s Python Data Science course should be recommended as it offers a vast number of lessons and is taught by experienced tutors.

Is Python data science in demand?

Indeed, data science with Python is on the trending list. Several companies in different industries are deploying data science for driving insights and decisions, hence the importance of having Python skills in the data field.

Is Python best for data science?

Yes, indeed, Python is one of the best languages to be used in data science due to issues of ease of use, availability of libraries, strong community backing, and its ability to work well with other technologies.

What are the prerequisites required to learn this Data Science course?

To take the Python Data Science course, one needs to have the following skills:

A basic understanding of programming concepts and Mathematics. It is advisable to have background knowledge of Python since some basics may be taught in the course punctually but it is not strictly required.