Participants should hold at least a high school diploma or an undergraduate degree. A keen interest in data analysis and enthusiasm to explore how Python is applied in data science will enhance the learning experience, though prior experience is not mandatory.

• Data Wrangling and Exploration
• Data Visualization Techniques
• Web Scraping Fundamentals
• Core Python Programming Concepts
• Natural Language Processing using Scikit-learn
• Mathematical Computing with NumPy and SciPy
• Hypothesis Building and Testing

The Data Science Platform market is projected to grow significantly—from USD 10.15 billion in 2024 to USD 29.98 billion by 2029—registering a robust CAGR of 23.5% over the forecast period (2024–2029).
 

Data Analyst
Annual Salary 
• Minimum: $62K
• Average: $82K
• Maximum: $96K

Data Scientist
Annual Salary (Source: Glassdoor)
• Minimum: $100K
• Average: $156K
• Maximum: $217K

Conduct exploratory data analysis and hypothesis testing to identify key factors influencing customer acquisition and assess the effectiveness of marketing campaigns.

Leverage diverse visualization techniques to explore and interpret a real estate dataset, uncovering valuable patterns and insights.

Analyze real estate data to identify trends in housing prices, determine the factors that influence pricing, and evaluate the impact of various property features.

Apply probability distributions to investigate customer behavior patterns and assess store performance using a tailored dataset.

For Online Classroom Learning:
• Attend an entire batch of the Data Science with Python training.
• Submit at least one project for evaluation.
For Self-Paced Learning:
• Complete a minimum of 85% of the course content.
• Submit at least one project.

The Data Science with Python Certification validates your proficiency in leveraging Python for data analysis, machine learning, and data visualization. To earn this credential, learners must complete the coursework and pass an assessment covering key topics such as statistical analysis, data manipulation using libraries like Pandas and NumPy, and building predictive models. Nvidya’s Applied Data Science with Python program equips you with practical skills to solve real-world data challenges.

 

A successful data science expert should master the following competencies:
• Data wrangling
• Data visualization
• Web scraping
• Python programming fundamentals
• Natural Language Processing using Scikit-learn
• Data exploration
• Mathematical computing
Nvidya’s Applied Data Science with Python course is designed to help you acquire all these in-demand skills.

 

Data science is critical across various sectors, with the highest adoption seen in:
• Retail
• Healthcare
• Banking & Finance
• Construction
• Communications
• Media & Entertainment
• Education
• Energy & Utilities

 

Nvidya provides 24/7 chat support for urgent issues, along with email assistance and scheduled callbacks for other queries.

Yes. Nvidya offers a wide range of data science programs tailored to various career stages. These include certifications, master’s programs, and postgraduate options.
Other available courses:
• Data Engineering Course
• SQL Certification
• Azure Data Engineering Certification
• Purdue Data Science Program
• Introduction to Data Science
• Data Science Course
• Introduction to Data Analytics

 

Not at all. With Nvidya’s ‘flexi-learn’ model, you can watch recorded sessions of any missed class at your convenience. This ensures uninterrupted learning and allows you to catch up at your own pace.

 

A Python-skilled data scientist uses the language to analyze complex datasets, build statistical and machine learning models, and visualize data for actionable insights. Proficiency in libraries such as Pandas, NumPy, and Scikit-learn enables effective data cleaning, predictive modeling, and creating dynamic visualizations.

 

Python is a top choice for data science due to its simplicity and powerful libraries. This course offers:
• 60+ hours of blended learning
• Lifetime access to self-paced content
• Hands-on experience with industry-based projects
• Interactive labs using Jupyter Notebooks
• 40+ guided practices and assessments

 

Our instructors are seasoned industry professionals with deep expertise in data science. Each trainer is carefully selected through a rigorous process that includes technical assessments, interviews, and demo sessions to ensure top-quality instruction.

 

To enroll:
1. Complete the application form via the “Enroll Now” button.
2. Make a secure payment via Visa, MasterCard, AmEx, Diners Club, or PayPal.
3. Once payment is successful, you’ll receive a confirmation email with access details.

Data scientists with Python expertise are in high demand. On average:
• India: ₹14.5 Lakhs per annum
• United States: $101,399 per annum
Salaries vary based on experience, location, and industry.

 

This course opens doors to multiple roles, including:
• Junior Data Scientist
• Data Analyst
• Machine Learning Engineer
With experience, you can transition to:
• Senior Data Scientist
• Data Engineer
• Analytics Consultant
• Data Strategy or Leadership roles

 

Certified professionals can explore positions such as:
• Business Analyst
• Database Administrator
• Big Data Engineer or Data Architect
• Data Analyst
• Machine Learning Engineer
• BI Developer or Analyst
• Statistician
• Computer Vision Engineer
• NLP Engineer
• MLOps Engineer

 

Yes. Nvidya for Business partners with Fortune 500 and mid-sized companies to provide role-based learning paths and skill-based certifications. We also offer Nvidya Learning Hub+, a robust training platform with live and on-demand sessions, curated for enterprise-wide upskilling.