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Master Data Science with Python

Unlock the potential of data with our Data Science course at OTB Study Hub, Kathmandu. This course is designed to teach you how to use Python’s powerful tools for data analysis, visualisation, and machine learning.

Whether you’re new to data science or aiming to enhance your skills, you’ll gain practical experience to confidently interpret data and drive smart decisions in today’s data-driven world.

  • 60 Days
  • 6
  • Begineer-Advanced

Comprehensive Data Science Training Overview

Are you ready to embark on an exciting journey into the world of data science? Look no further than OTB Study Hub, your gateway to mastering data analytics and unlocking lucrative career opportunities in Kathmandu. With our comprehensive Data Science Course, you’ll gain the skills and expertise needed to thrive in today’s data-driven economy.

Career Opportunities in Data Science

Upon completing our Data Science Course, you’ll be well-equipped for a variety of exciting career opportunities, including:

  • Data Scientist: Analyze large volumes of data, build complex algorithms, and present findings to senior management to drive business decision-making. As a data scientist, you’ll be at the forefront of innovation, using advanced statistical techniques and machine learning algorithms to extract valuable insights from complex datasets.
  • Data Analyst: Collect, analyze, and interpret data to provide actionable insights and recommendations for business strategy and planning. Data analysts play a crucial role in helping organizations make data-driven decisions, identifying trends, and optimizing business processes.
  • Machine Learning Engineer: Develop and deploy machine learning models to solve complex business problems and optimize processes. As a machine learning engineer, you’ll work on cutting-edge AI technologies, creating algorithms that can learn from data and improve over time.
  • Business Intelligence Analyst: Extract, transform, and visualize data to help organizations make informed decisions and gain a competitive edge in the market. Business intelligence analysts bridge the gap between data and business strategy, creating dashboards and reports that provide valuable insights to stakeholders.
  • Data Engineer: Design, build, and maintain the infrastructure and architecture for data generation, storage, and processing. Data engineers are essential in ensuring that data is accessible, reliable, and efficiently managed for analysis.
  • AI Specialist: Develop and implement artificial intelligence solutions across various industries, focusing on natural language processing, computer vision, and deep learning applications.

Why Choose OTB Study Hub for Data Science Training in Kathmandu?

At OTB Study Hub, we’re committed to your success. Here’s why we’re the best choice for your data science journey:

  • Expert Instructors: Learn from industry experts with years of experience in data analytics and Python programming, ensuring you receive top-notch instruction and practical insights. Our instructors are well-versed in the latest industry trends and technologies, providing you with relevant, up-to-date knowledge.
  • Comprehensive Curriculum: Our Data Science Course covers the entire data science lifecycle, from data preparation and cleansing to machine learning algorithms and predictive modelling. You’ll also delve into Python programming, statistical analysis, and data visualization techniques. The curriculum is designed to align with the skills most sought after by employers in 2025 and beyond.
  • Hands-On Projects: Put your skills to the test with real-world projects that simulate industry scenarios, giving you valuable experience and a compelling portfolio to showcase your abilities to potential employers. These projects will help you develop the practical skills needed to excel in the job market.
  • Flexible Learning Options: Choose from online or offline classes to fit your schedule and learning preferences. With our hybrid class approach, you can access high-quality instruction from anywhere, ensuring maximum flexibility without compromising on educational quality. This flexibility is especially important as the job market evolves, with only 5% of data science jobs being fully remote in 2025.
  • Career Guidance: Benefit from our career guidance services, including resume building, interview preparation, and job placement assistance, to help you land your dream job in data science. We’ll help you navigate the changing job market, where employers are increasingly seeking versatile professionals with expertise across multiple domains.
  • Industry-Relevant Skills: Our course focuses on developing the skills that are most in demand in the data science job market. This includes advanced machine learning techniques, data engineering skills, and expertise in AI and ML, which are becoming increasingly important for data scientists in 2025.
  • Competitive Salary Preparation: Our training prepares you for the high-value data science job market of 2025, where the majority of positions offer salaries between $160,000 – $200,000. We’ll help you develop the skills and expertise needed to command top salaries in the field.
  • Networking Opportunities: Connect with fellow data science enthusiasts, industry professionals, and potential employers through our extensive network. Building professional relationships can be crucial for career advancement in the data science field.

By choosing OTB Study Hub for your data science training, you’re investing in a future-proof career with excellent growth prospects. The data scientist job outlook for 2025 remains robust and promising, with increasing salaries and diverse geographical opportunities.

Join us today and take the first step towards becoming a skilled data scientist ready to tackle the challenges of tomorrow’s data-driven world.

Our Data Science Course covers a wide range of topics, including:

  • Introduction to Data Science

    Explore the fundamentals of data science through a comprehensive introduction to key concepts such as statistics and probability, which form the backbone of data analysis. Gain practical skills in programming languages like Python and R, widely used in the industry for data manipulation, analysis, and visualisation.

    This foundational knowledge will equip you to understand and interpret data effectively, setting a strong base for advanced data science techniques and real-world applications.

  • Data Preparation and Cleansing

    Learn how to expertly prepare and clean data to ensure accuracy and reliability in your analysis. This process involves identifying and handling missing or inconsistent data, removing duplicates, and transforming raw data into a structured format suitable for analysis.

    By mastering data cleaning techniques, you will enhance the quality of your datasets, reduce errors, and improve the validity of your insights. This crucial step lays the foundation for effective data analysis and helps you make confident, data-driven decisions.

  • Exploratory Data Analysis (EDA)

    Dive deep into Exploratory Data Analysis (EDA) techniques to uncover hidden patterns, trends, and relationships within your datasets. Through visualisation tools, statistical summaries, and data profiling, you’ll learn how to explore and understand your data’s underlying structure.

    This process helps identify anomalies, detect outliers, and generate hypotheses, enabling you to make informed decisions and guide further analysis or modelling. Mastering EDA is essential for transforming raw data into meaningful insights that drive smarter business strategies.

  • Machine Learning Algorithms

    Master a wide range of machine learning algorithms designed for both supervised and unsupervised learning tasks. You’ll gain in-depth knowledge of techniques such as linear regression for predicting continuous outcomes, clustering methods to group similar data points without labelled outcomes, and advanced neural networks that power deep learning applications.

    By understanding how and when to apply these algorithms, you’ll be equipped to build intelligent models that can analyse complex data, make accurate predictions, and uncover hidden insights, preparing you for real-world challenges in data science and artificial intelligence.

  • Python Programming

    Develop strong proficiency in Python programming tailored specifically for data analysis, visualisation, and modelling. You’ll learn to harness the power of essential libraries such as Pandas for efficient data manipulation and organisation, and NumPy for advanced numerical computations.

    This hands-on experience will enable you to clean, transform, and explore datasets with ease, create compelling visualisations to communicate insights clearly, and build predictive models to solve complex problems. Mastering these tools will empower you to work confidently with data and deliver impactful results across various industries.

  • Real-World Projects

    Apply your newly acquired skills to real-world projects that simulate actual industry challenges, giving you invaluable hands-on experience. These practical assignments allow you to work with authentic datasets, solve complex problems, and implement data science techniques from start to finish.

    By completing these projects, you’ll not only deepen your understanding but also build a strong, professional portfolio that showcases your capabilities to potential employers. This portfolio will serve as a powerful tool to demonstrate your expertise and boost your confidence as you pursue exciting career opportunities in data science.

Learning Outcomes: Data Science with Python

By the end of this course, you will have a solid understanding of Python programming and its application in data science. You’ll master essential skills such as data manipulation, cleaning, and visualisation using powerful libraries like Pandas, NumPy, Matplotlib, and Seaborn. Additionally, you’ll gain expertise in building machine learning models with Scikit-learn, enabling you to analyse data effectively and make accurate predictions. This foundation will prepare you to tackle real-world data challenges confidently and efficiently.


You will also develop the ability to work on real-world projects, applying your knowledge to solve complex problems and uncover actionable insights. From exploratory data analysis to advanced statistical modelling and predictive analytics, you’ll build a strong portfolio showcasing your skills. Whether you’re aiming to start a career in data science or enhance your current role, this course equips you with the tools and practical experience needed to excel in today’s data-driven industries.

Course Fee:

Rs.15,000

Rs.20,000

Enroll Course

Know Your Instructor

Mala Deep Upadhaya

Mala Deep Upadhaya

Mala Deep Upadhyaya is a disciple of computer science and a graduate of Kathmandu University. He made it to the list of the top 1,500 writers in the data science and machine learning domain on Medium worldwide. He is currently working as an independent data consultant for several national and international organizations on data visualization and analysis projects. He has a passion for sharing his knowledge and has been conducting Data Science boot camps at many colleges in Kathmandu.

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