Course OverviewSyllabus
Course Overview
At Mind Risers, we offer comprehensive data science with Python training in Nepal, designed to equip you with the necessary skills to excel in this rapidly growing field. Data science has become a crucial discipline for businesses across various industries, as it enables them to extract valuable insights and make informed decisions. In this course, you will gain a deep understanding of data science concepts and learn how to apply them using Python, one of the most popular programming languages for data analysis and machine learning.
Our data science course covers a wide range of topics, including the fundamentals of data science, statistical analysis, data visualization, machine learning algorithms, and more. You will learn how to collect, clean, and analyze data to derive meaningful insights. Python offers strong capabilities for data manipulation, exploration, and visualization thanks to its diverse ecosystem of libraries, including NumPy, Pandas, and Matplotlib. You will also learn how to build and evaluate machine learning models using popular Python libraries like scikit-learn and TensorFlow.
If you're wondering what data science is all about, our course will provide a comprehensive answer. You will explore the core principles and techniques of data science and understand how it is used to solve real-world problems. With a focus on practical applications, you will work on hands-on projects and case studies that simulate real data science scenarios. This practical experience will help you develop the skills needed to tackle data-driven challenges in various domains.
Mind Risers is a leading institute for data science training in Nepal. Our experienced instructors have a strong background in both data science and Python programming. They will guide you through the course, providing in-depth explanations and practical examples to ensure a thorough understanding of the subject matter. Our training facility in Putalisadak, Kathmandu, is equipped with state-of-the-art resources and a supportive learning environment to facilitate your learning journey.
Whether you're a recent graduate, a working professional, or someone looking to switch careers, our data science training course is designed to meet your needs. Upon completion of the course, you will have the skills and knowledge to pursue a career in data science, work on data-driven projects, or continue your education in this field. Join us for the best data science training in Nepal and unlock the doors to exciting opportunities in the world of data.
Objectives of Data Science with Python Course
At Mind Risers, our comprehensive data science with Python course aims to equip you with the necessary skills to excel in this rapidly growing field. Through this course, you will embark on a journey of learning, growth, and discovery, gaining a deep understanding of data science principles and mastering Python programming for data analysis and machine learning.
Here are the key objectives of our data science with Python course:
1. Understanding the Essence of Data Science: Delve into the world of data science and explore its significance in today's data-driven world. Learn what data science is all about, its applications, and how it fuels decision-making processes across industries.
2. Mastering Python for Data Science: Dive into Python, a powerful programming language widely used for data analysis and machine learning. Discover how to harness the capabilities of Python libraries such as NumPy, Pandas, and Matplotlib to manipulate, explore, and visualize data effectively.
3. Exploring Data Science Techniques: Acquire a solid foundation in statistical analysis, data visualization, and machine learning algorithms. Gain hands-on experience in collecting, cleaning, and analyzing data, and learn how to derive valuable insights to drive informed decision-making.
4. Real-World Projects and Practical Experience: Work on real-world data science projects that simulate industry scenarios. Apply your knowledge and skills to solve data-driven challenges, giving you the practical experience necessary to excel in your future data science endeavors.
5. Best Practices and Industry Standards: Learn industry-standard techniques and best practices for building scalable and efficient data-driven solutions. Gain insights into the methodologies used by professionals in the field, enabling you to deliver high-quality programs that meet user demands.
6. Career Opportunities in Data Science: Explore the wide range of career opportunities available in data science. Whether you aspire to become a data scientist, data analyst, machine learning engineer, or pursue other data-related roles, this course will lay a solid foundation for your professional growth.
Join Mind Risers' data science with Python course and unlock your potential in the world of data. Our experienced instructors, state-of-the-art learning environment, and hands-on projects will empower you to thrive in this dynamic field. Embrace this opportunity to enhance your skills, broaden your horizons, and shape a successful career in data science.
Scope of Python for Data Science Training in Nepal
In the dynamic landscape of today's data-driven world, data science holds the key to unlocking endless possibilities. At Mind Risers, we are passionate about equipping individuals like you with the skills and knowledge needed to excel in data science with Python. Our comprehensive training program in Nepal is designed to ignite your potential and pave the way for a successful career in this exciting field.
Through our data science course, you will embark on a transformative journey of learning, growth, and discovery. Delve into the fundamentals of data science and gain a deep understanding of its applications in various industries. Dive into Python, a versatile and widely-used programming language, and explore its power in data analysis and machine learning. With hands-on projects and real-world case studies, you will acquire practical experience in collecting, cleaning, and analyzing data to derive valuable insights.
Nepal is witnessing a rising demand for skilled data scientists, and by mastering data science with Python, you can seize the vast opportunities available. Our experienced instructors, who possess a wealth of industry knowledge, will guide you through the intricacies of data science, ensuring you develop the necessary skills to tackle complex data challenges. Join us at Mind Risers and embark on a life-changing journey to unlock your full potential in the captivating world of data science.
Who can join Data Science with Python course?
Our Data Science with Python course welcomes individuals from all walks of life who are eager to delve into the fascinating world of data science and enhance their skills. Whether you are a student seeking to expand your knowledge, a working professional aiming to upskill, or an entrepreneur looking to leverage data for business insights, our course is designed to cater to your needs.
No matter your background, as long as you have a basic understanding of HTML, CSS, and JavaScript, you are ready to embark on this transformative journey. Our experienced instructors will guide you through the course, providing invaluable mentorship and support along the way. Through hands-on projects and real-world applications, you will gain practical experience in working with data, honing your Python programming skills, and developing the ability to create high-performance web applications.
By enrolling in our Data Science with Python course, you open the doors to a multitude of opportunities in Nepal's growing data science landscape. Unleash your potential and establish yourself as a sought-after data scientist, analyst, or machine learning engineer. Join us at Mind Risers and unlock a world of possibilities in data science with Python.
Why Mind Risers for Data Science with Python Training in Nepal?
At Mind Risers, we are passionate about empowering individuals to embark on a transformative journey in data science with Python. Our comprehensive training program offers a unique blend of theoretical knowledge and practical skills, allowing you to delve into the captivating world of data science. Led by experienced instructors, our immersive learning experience ensures you receive personalized guidance and mentorship throughout your training.
We focus ourselves on our dedication to experiential learning. Through real-world projects and practical applications, you will gain invaluable experience in working with data, honing your Python programming skills, and developing the expertise to tackle complex data challenges. Our state-of-the-art facilities provide an ideal environment for immersive learning, fostering collaboration and growth.
By choosing Mind Risers for your data science with Python training, you open the doors to endless opportunities in Nepal's thriving data science landscape. Whether you aspire to become a data scientist, analyst, or machine learning engineer, our program equips you with the skills and knowledge to excel in the industry. Join us today and unlock your potential in data science with Python.
Syllabus Highlights: Data Science with Python Training Course
In our data science course, you will begin by exploring the fundamentals of data science and its real-world applications. Through hands-on exercises and projects, you will learn to harness the power of Python and its popular libraries such as NumPy, Pandas, and Matplotlib to manipulate and visualize data effectively. Our expert instructors will guide you through the intricacies of data preprocessing, cleaning, and exploratory analysis, enabling you to derive meaningful insights from complex datasets.
As the course progresses, you will delve into machine learning fundamentals, where you will discover the principles behind various algorithms and gain practical experience in implementing them. Model evaluation and validation techniques will further enhance your skills, ensuring you can select and deploy the most suitable models for different scenarios. Additionally, you will explore advanced topics such as deep learning, natural language processing, and text mining, allowing you to tackle cutting-edge challenges in data science.
Join Mind Risers' Data Science with Python training course and unlock your potential to become a skilled data scientist. Our industry-experienced instructors and state-of-the-art facilities create an immersive learning environment that fosters growth and success. Through real-world projects and case studies, you will apply data science techniques to solve industry-specific problems, gaining hands-on experience that sets you apart in the job market. Start your transformative journey into the exciting world of data science today.
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Introduction to Data Science
- What is Data Science?
- The Data Science process and workflow
- Overview of the Data Science lifecycle: Data collection, cleaning, exploration, modeling, and deployment
- Key skills required for Data Science
Setting Up the Environment
- Installing Python and key libraries (NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn)
- Introduction to Jupyter Notebook for Data Science
- Using IDEs: PyCharm, VS Code
- Version control with Git and GitHub
Python Programming Language
- Variables,Data Types,Operations in Python,List,Tuple,Set,Dictionary
- Conditional Statements,Loops,Function,Comprehension
- Object-Oriented Programming(OOP),File Handling,Exception Handling
Web Scraping
- Web Scraping Using requests and BeautifulSoup
- Scraping tables, news articles , product listing
- Exporting data to CSV or Excel
Mathematics and Statistics for Data Science
- Basic Linear Algebra: Vectors, Matrices, Eigenvalues
- Calculus fundamentals: Derivatives, Integrals, Optimization
- Introduction to Probability: Bayes’ Theorem, Random Variables, Distributions
- Descriptive statistics: Mean, Median, Mode, Standard deviation, Variance
- Hypothesis Testing and Confidence Intervals
Data Wrangling with Python
- Working with NumPy arrays and Pandas DataFrames
- Data loading, inspection, and cleaning: Handling missing values, duplicates, and data types
- String manipulation and regular expressions
- Data transformation: Filtering, sorting, merging, concatenating, and reshaping
- Time series data manipulation
Exploratory Data Analysis (EDA)
- Understanding the purpose of EDA in Data Science
- Univariate analysis: Histograms, Box Plots, Bar Plot, Pie Chart
- Bivariate analysis: Correlation, Scatter plots
- Multivariate analysis: Heatmaps, Pair plots
- Feature engineering and selection
Data Visualization
- Data visualization principles and best practices
- Visualization tools: Matplotlib and Seaborn
- Plotting various charts: Line, Bar, Pie, Histogram, Scatter, and Heatmap
- Interactive visualizations with Plotly and Dash
- Customizing plots: Titles, legends, labels, and color schemes
SQL
- CRUD Operations
- Joins,Subqueries,Aggregate Functions
Introduction to Machine Learning
- What is Machine Learning?
- Types of Machine Learning: Supervised, Unsupervised, Reinforcement learning
- Machine Learning workflow: Data preparation, model selection, training, evaluation, and deployment
- Overview of algorithms: Regression, Classification, Clustering
Supervised Learning Algorithms
- Linear Regression and its implementation in Python
- Logistic Regression and classification problems
- Decision Trees and Random Forest
- Support Vector Machines (SVM)
- K-Nearest Neighbors (KNN) and its applications
- XGBoost,AdaBoost,Gradient Boosting
- Model evaluation for Regression Models: MAE,MSE,RMSE,R-squared,Adjusted R square
- Model evaluation for Classification Models : Accuracy, Precision, Recall, F1-Score, ROC Curves
Unsupervised Learning Algorithms
- Clustering: K-Means, Hierarchical clustering
- Dimensionality Reduction: PCA (Principal Component Analysis)
- Anomaly detection techniques
- Association rule learning (Apriori, Eclat)
- Evaluating clustering models
Model Selection and Evaluation
- Cross-validation: K-Fold and Stratified Cross-validation
- Hyperparameter tuning: Grid Search and Randomized Search
- Bias-Variance tradeoff
- Model performance metrics: Confusion matrix, AUC, Log loss
- Overfitting and Underfitting
Deep Learning Fundamentals
- Introduction to Neural Networks(ANN,RNN,CNN)
- Activation functions: Sigmoid, ReLU, Softmax
- Neural network architecture: Layers, weights, biases
- Introduction to Pytorch,TensorFlow and Keras
- Implementing neural network in Pytorch
Natural Language Processing (NLP)
- Text data preprocessing: Tokenization, Stemming, Lemmatization,Stopwords Removal
- Word embeddings: Word2Vec, GloVe, TFIDF,BOW
- Sentiment analysis and text classification
- Advanced NLP models: Transformers, BERT
- Named Entity Recognition (NER) and topic modeling
Time Series Analysis
- Time series data preprocessing: Handling missing values, outliers
- Time series decomposition
- Forecasting techniques: ARIMA, SARIMA, Prophet
- Model evaluation for time series forecasting
Big Data Tools and Frameworks
- Introduction to Big Data and Hadoop ecosystem
- Distributed computing with Apache Spark
- Using PySpark for data processing and analysis
- Introduction to cloud computing platforms (AWS, Azure, Google Cloud)
- Using cloud services for data storage and processing
AI Tools Included
- ChatGPT / OpenAI GPT
- Google Colab
- Claude
- Perplexity AI
- Bing AI (Microsoft Copilot)
- GitHub Copilot
- Hugging Face Spaces
- Codeium
- Cursor
Capstone Project
- Building a complete Data Science project: From data collection to deployment
- Data cleaning, visualization, feature engineering, and modeling
- Model evaluation and selection
- Deployment of models using Flask/Django or cloud services Streamlit
- Final project presentation and documentation
Success Stories
