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US$1000
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Duration: 6 Months
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Delivery mode: Online
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Group size: 4
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Instruction language:
English,
Hindi
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Certificate provided:
No
Embark on a transformative journey with our 6-month "Data Science with Python" program. Tailored for aspiring data scientists and professionals looking to deepen their expertise, this course delivers an extensive exploration of data science principles, methodologies, and practical applications using Python—a premier programming language in the industry.
Key Features:
1. Foundational Knowledge: Begin with the essentials of Python programming, including data structures and fundamental libraries such as NumPy, Pandas, and Matplotlib.
2. Data Handling: Acquire skills to collect, clean, and preprocess data from various sources, ensuring high-quality datasets for accurate analysis.
3. Exploratory Data Analysis (EDA): Master techniques to identify patterns, anomalies, and derive insights through visualizations and statistical methods.
Statistical Analysis: Grasp core statistical concepts and their application in data science to enable informed, data-driven decision-making.
4. Machine Learning: Delve into supervised and unsupervised learning algorithms, model evaluation, and optimization to construct robust predictive models.
5. Advanced Topics: Explore cutting-edge areas like deep learning, natural language processing (NLP), and big data technologies to stay at the forefront of the field.
6. Real-World Projects: Gain hands-on experience by working on real-world datasets through projects, case studies, and a capstone project, enhancing your practical knowledge and portfolio.
7. Industry-Relevant Tools: Develop proficiency in widely-used data science tools and frameworks, including Jupyter Notebooks, Scikit-Learn, and TensorFlow.
Outcomes:
Upon completion of this course, you will possess a strong understanding of data science fundamentals, hands-on experience with Python, and the capability to address complex data challenges. This program equips you to pursue successful careers in data science, analytics, machine learning, and related domains.