Adil - Programming languages teacher - Mysuru
Adil - Programming languages teacher - Mysuru

Adil profile and their contact details have been verified by our experts

Adil

  • Rate ₹250
  • Response 2h
  • Students

    Number of students accompanied by Adil since their arrival at Superprof

    50+

    Number of students accompanied by Adil since their arrival at Superprof

Adil - Programming languages teacher - Mysuru
  • 5 (13 reviews)

₹250/hr

Contact
  • Programming languages

Python For Finance with ML from Basics to Advanced with Python and Real World Data

  • Programming languages

Class location

Recommended

Adil is a respected tutor in our community. He is highly recommended for his commitment and the quality of his lessons. An excellent choice to progress with confidence.

About Adil

Hello there! I'm Adil, a self-taught data scientist with a deep passion for unraveling the mysteries hidden within complex datasets. I believe that data holds the key to unlocking insights, driving innovation, and transforming the world we live in. It's this belief that has driven me to embark on an exciting journey of self-learning and exploration in the field of data science. As a self-taught data scientist, I have dedicated countless hours to honing my skills and expanding my knowledge in this ever-evolving field. I have dived headfirst into the vast ocean of resources available, devouring books, online courses, research papers, and tutorials to build a solid foundation. This process has allowed me to grasp a wide range of concepts, from statistical analysis and machine learning to data visualization and predictive modeling. What sets me apart is my insatiable curiosity and relentless pursuit of excellence. I am constantly on the lookout for new techniques, algorithms, and methodologies to stay ahead of the curve. I love the thrill of discovering innovative ways to solve complex problems and uncover valuable insights that have a tangible impact on real-world scenarios. My expertise lies in leveraging various tools and technologies such as Python, R, SQL, and TensorFlow to collect, clean, analyze, and visualize data. I have hands-on experience in designing and implementing machine learning models, employing both supervised and unsupervised learning techniques. Additionally, I possess a strong understanding of data preprocessing, feature engineering, and model evaluation to ensure accurate and reliable results. Throughout my journey as a self-learner, I have tackled a diverse range of projects that span industries and domains. Whether it's analyzing customer behavior to optimize marketing strategies, predicting stock prices, or developing recommendation systems, I am adept at tailoring data-driven solutions to meet specific business objectives. What truly excites me about being a data scientist is the opportunity to make a meaningful impact. I thrive on transforming raw data into actionable insights that drive informed decision-making and fuel innovation. By applying my skills and knowledge, I aspire to empower individuals and organizations to harness the power of data and unlock new possibilities. As a tutor on Superprof, my goal is to share my passion for data science and inspire others to embark on their own journey of self-learning. I believe that anyone can acquire the skills needed to become a data scientist, regardless of their background. I am dedicated to providing personalized guidance, breaking down complex concepts into digestible pieces, and fostering a supportive learning environment. If you're ready to dive into the exciting world of data science, I am here to guide you every step of the way. Let's embark on this incredible journey together and unlock the endless possibilities that lie within the realm of data! Feel free to reach out to me and let's embark on this exciting data-driven adventure together!

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About the class

  • All Levels
  • English
  • Hindi
  • Urdu

All languages in which the class is available :

English

Hindi

Urdu

The Python for Finance course is designed to provide individuals with a comprehensive understanding of how Python programming can be utilized in the field of finance. This course caters to both beginners and intermediate-level learners who are interested in leveraging Python's powerful capabilities to analyze financial data, build financial models, and automate financial processes. Throughout the course, participants will gain hands-on experience with Python libraries and tools that are widely used in the finance industry. They will learn how to retrieve financial data from various sources, such as online APIs and databases, and process it using Python's data manipulation and analysis libraries, including NumPy, Pandas, and Matplotlib. The course will cover fundamental concepts related to financial calculations, risk analysis, and portfolio management. Participants will discover how to implement financial models and algorithms in Python to perform tasks such as calculating returns, volatility, and correlation. They will also explore techniques for optimizing investment portfolios, evaluating trading strategies, and conducting Monte Carlo simulations. Furthermore, the Python for Finance course will delve into the realm of financial data visualization, enabling participants to present their findings and insights effectively. They will learn how to create informative and visually appealing charts, graphs, and dashboards using Python's data visualization libraries, such as Seaborn and Plotly. By the end of this course, participants will have a solid foundation in Python programming specifically tailored for finance. They will be equipped with the necessary skills to extract, analyze, and visualize financial data, empowering them to make data-driven decisions and streamline financial processes. Whether individuals aim to pursue careers in quantitative finance, financial analysis, or algorithmic trading, this course will provide them with the essential tools and knowledge to excel in the finance industry's dynamic landscape.

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Rates

Rate

  • ₹250

Pack prices

  • 5h: ₹1250
  • 10h: ₹2500

online

  • ₹250/hr

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