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GF Academy

GF Academy

GF Academy

GF Academy

Sustainable Technology Education & Innovation
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Become a Data Scientist

Become a Data Scientist

Learn Python for data science, machine learning, artificial intelligence, and data analytics with real projects

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Data Science Learning Path

The Python Data Science program starts with Python fundamentals, moves to data analysis with Pandas and NumPy, progresses to data visualization with Matplotlib and Seaborn, then covers machine learning with Scikit-learn, and advances to deep learning with TensorFlow and PyTorch. You will work on real datasets and build predictive models.

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Data Science Learning Path

CCNP Certification Benefits

Advanced Networking Skills

Master advanced routing, switching, and network design concepts

Career Advancement

Move to senior network engineering and architecture roles

Higher Salary

CCNP certified professionals earn 30-50% more than CCNA

Specialization Options

Choose from security, wireless, automation, or design specializations

Global Recognition

CCNP is globally recognized as advanced networking certification

Consulting Opportunities

Qualify for network consulting and design consulting roles

Data Science Career Scope

Data Science is one of the fastest-growing fields with 2.7 million job openings globally. In India, data science professionals earn ₹6-15 LPA for entry-level positions, growing to ₹20-40 LPA with experience. Specializations in machine learning, AI, and big data analytics command premium salaries. Industries hiring data scientists include finance, healthcare, retail, manufacturing, and technology. Our program includes Python programming, statistical analysis, machine learning, and real-world projects.
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Data Science Skills You Will Learn

Python Programming

Master Python for data analysis, visualization, and machine learning applications

Statistical Analysis

Learn statistical methods, hypothesis testing, and probability for data science

Machine Learning

Implement supervised and unsupervised learning algorithms for predictive modeling

Data Visualization

Create compelling visualizations and dashboards to communicate insights

Big Data Technologies

Work with big data tools like Hadoop, Spark, and distributed computing

Deep Learning

Build neural networks and deep learning models for complex problems