Data Science (AI+ML)
Embark on a transformative journey into the world of data with Swhizz's Comprehensive Data Science Course.
Whether you're an aspiring data scientist or a professional eager to advance your career, this program is your gateway to mastering the skills and expertise demanded by today's data-driven industries.
What You'll Learn
- Data Science Essentials: Python, Linear Algebra, Probability, and Statistics
- Exploratory Data Analysis: Data wrangling, visualization, and pattern recognition
- Advanced Techniques: Machine learning, deep learning, NLP, computer vision, and time series forecasting
- Practical Implementation: Hands-on projects and case studies to solidify your knowledge
- Interview Readiness: Mock interviews and guidance on frequently asked questions
Get Ready to Shape the Future
Data science is more than a career—it's a revolution. Be part of this change with Swhizz Technologies and lead the way in solving tomorrow's challenges.
Start your journey today!
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DOWNLOAD BROUCHUREOverview
Embark on a transformative journey into the world of data with Swhizz's Comprehensive Data Science Course.
Whether you're an aspiring data scientist or a professional eager to advance your career, this program is your gateway to mastering the skills and expertise demanded by today's data-driven industries.
What You'll Learn
- Data Science Essentials: Python, Linear Algebra, Probability, and Statistics
- Exploratory Data Analysis: Data wrangling, visualization, and pattern recognition
- Advanced Techniques: Machine learning, deep learning, NLP, computer vision, and time series forecasting
- Practical Implementation: Hands-on projects and case studies to solidify your knowledge
- Interview Readiness: Mock interviews and guidance on frequently asked questions
Get Ready to Shape the Future
Data science is more than a career—it's a revolution. Be part of this change with Swhizz Technologies and lead the way in solving tomorrow's challenges.
Start your journey today!
Course Description
1. Python Programming for Data Science
- Introduction to Python: Basics of syntax, structure, and IDEs.
- Data Science Libraries: NumPy (arrays, matrix operations), Pandas (DataFrames, Series), Matplotlib & Seaborn (visualization).
- Python Basics: Data types, control flow, file handling, and Jupyter Notebooks.
2. Mathematics for Data Science
- Linear Algebra: Vectors, matrices, eigenvalues/eigenvectors, PCA.
- Probability: Random variables, distributions, Bayes’ theorem.
- Statistics: Descriptive stats, hypothesis testing, confidence intervals.
3. Exploratory Data Analysis (EDA)
- Data Wrangling: Cleaning and preprocessing data, handling missing values.
- Data Visualization: Bar plots, scatter plots, heatmaps.
- EDA Techniques: Identifying outliers, building dashboards with Plotly.
4. Machine Learning Algorithms
- Supervised Learning: Linear regression, classification (Logistic, Decision Trees, SVM).
- Unsupervised Learning: Clustering (K-means, DBSCAN), Dimensionality reduction (PCA).
- Model Evaluation: Cross-validation, confusion matrix, ROC-AUC.
5. Deep Learning
- Neural Networks: Architecture, activation functions (ReLU, Sigmoid).
- Training: Forward/backward propagation, optimization (Gradient Descent).
- Using TensorFlow & Keras: Implementing and building models.
6. Natural Language Processing (NLP)
- Text Preprocessing: Tokenization, stemming, lemmatization.
- Text Representation: Bag-of-Words, Word2Vec, GloVe.
- Advanced NLP: Sentiment analysis, topic modeling, Transformer models (BERT).
7. Time Series Forecasting
- Time Series Basics: Trend, seasonality, residuals.
- Forecasting: ARIMA, SARIMA, LSTM.
- Real-World Use Cases: Stock market prediction, sales forecasting.
8. Computer Vision
- Image Preprocessing: Resizing, normalization, augmentation.
- CNNs: Convolution, pooling, and architecture.
- Applications: Object detection (YOLO), image classification.
9. Market Basket Optimization
- Association Rules: Frequent itemsets, association rules.
- Algorithms: Apriori, FP-Growth.
- Retail Applications: Recommendation systems, product bundling.
10. SQL for Data Science
- SQL Basics: SELECT, filtering, aggregate functions.
- Advanced SQL: Joins, subqueries, window functions.
- SQL & Python: Using libraries like Pandas, SQLite for data querying.
11. Interview Preparation
- Review & Practice: Key concepts, case studies, and mock interviews.
- Interview Tips: Problem-solving, communication skills, and common questions.
12. Case Studies & Projects
- Real-World Projects: End-to-end ML/DL projects.
- Deployment: Tools like Flask, Docker for model deployment.
13. Mock Interviews
- Technical Rounds: Algorithms, data structures.
- HR Rounds: Behavioral interview preparation, resume tips.
Course Key Features
- Classroom and Online Training: Learn from the comfort of your home or in-person at our Hyderabad center.
- IT Experts as Trainers: Get trained by experienced professionals with real-world industry insights.
- Industry-Relevant Curriculum: Our course covers essential Java concepts, focusing on real-world applications.
- Hands-on Projects: Work on real-time use cases and projects to enhance practical knowledge.
- One-on-One Mentoring: Personalized attention from mentors to guide you through the learning process.
- Flexible Schedules: Choose from convenient training schedules to fit your lifestyle.
- 8 Hours of Lab Support: Daily lab sessions to practice and apply what you've learned.
- Pre-Assessment Questions: Assess your knowledge before the course begins.
- Comprehensive Course Material: Get access to well-structured study materials for self-paced learning.
- Lifetime Valid Swhizz Certification: Earn a certificate recognized for its credibility and validity.
- Resume Building: Assistance in creating a professional resume to stand out to employers.
- Interview Guidance: Receive expert tips on how to prepare for and excel in job interviews.
- Mock Interviews: Simulate real job interviews for better preparation.
- Job Drives with Top Companies: Access exclusive hiring opportunities through our extensive network.
- Internship Opportunities: Gain industry exposure through internships with leading companies.
- Tie-ups with 100+ Clients: Partnered with top firms for job placements and career support.
Join Swhizz Technologies today to kickstart your career in DataScience
Benefits
- Comprehensive Curriculum: Covers all key concepts from basics to advanced topics.
- Hands-on Learning: Apply concepts through real-time projects.
- Expert Mentors: Learn from industry experts with practical experience.
- 100% Placement Assistance: Resume building, interview preparation, and job placement support.
Enroll now to master Data Science and pave your way to a successful career in software development!
Who Should Attend
- Beginners: Individuals with no prior programming experience who want to start a career in Java development.
- Graduates: Fresh graduates seeking to build a strong foundation in Java programming for software development roles.
- Software Developers: Developers looking to enhance their skills and work with advanced Java features.
- IT Professionals: Professionals aiming to transition into Java development or improve their existing Java knowledge.
- Career Gap Candidates: Individuals returning to the workforce after a career gap and seeking to gain relevant Java development skills.
- Quality Assurance Engineers: QA professionals wanting to expand their expertise with Java for test automation and scripting.
This training is ideal for anyone interested in mastering Java programming to develop robust, scalable applications and pursue careers in Java development, software engineering, and related fields.
Course Outline for
- Python for Data Science: Basics of Python, NumPy, Pandas, Matplotlib, Seaborn.
- Statistics and Probability: Descriptive stats, hypothesis testing, Bayes’ theorem.
- Machine Learning: Supervised and unsupervised learning algorithms, regression, classification, clustering, and PCA.
- Deep Learning: Neural networks, TensorFlow, Keras.
- Natural Language Processing (NLP): Text preprocessing, sentiment analysis, BERT.
- Time Series Forecasting: ARIMA, LSTM, and stock market prediction.
- Computer Vision: Image processing, CNN, and real-world applications like facial recognition.
- Project and Case Studies: Real-world projects and end-to-end solutions.
FAQs On
Data Science is a multidisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It plays a crucial role in decision-making, strategy formulation, and predictive analytics across various industries, making it essential in today's data-driven world.
Our Data Science course is ideal for:
• Graduates seeking a career in data analytics and machine learning.
• Professionals aiming to transition into data science roles.
• Anyone interested in harnessing the power of data to drive business solutions and innovation.
While there are no strict prerequisites, familiarity with basic mathematics, statistics, and programming concepts (preferably in Python) is beneficial. A passion for problem-solving and an eagerness to delve into data analytics are also advantageous.
Throughout the course, you will:
• Gain a solid foundation in data analysis, statistical modeling, and machine learning algorithms.
• Learn to work with big data frameworks and tools like Hadoop and Spark.
• Develop skills in data visualization using industry-standard tools such as Tableau and matplotlib.
• Complete a hands-on capstone project to apply your knowledge to real-world challenges.
Our course is structured to be flexible and accommodating to diverse learner needs. You can choose from:
• Part-time or full-time schedules to fit your availability.
• Instructor-led sessions supplemented with practical exercises and projects.
• Online resources and materials for continuous learning and practice.
Graduates from our program can explore diverse career paths such as:
• Data Scientist
• Machine Learning Engineer
• Business Intelligence Analyst
• Data Analyst
• AI/ML Consultant, among others.
Yes, we offer comprehensive career support, including:
• Resume building and interview preparation workshops.
• Networking opportunities with industry professionals.
• Job placement assistance through our network of partner companies.
Enrolling is simple! Visit our website, fill out the enrollment form, and our admissions team will guide you through the process. Alternatively, you can contact us directly for personalized assistance.
Yes, upon successfully finishing the Data Science course, you will receive a certification from Swhizz Software Training Institute. This credential validates your skills and enhances your credibility in the competitive job market.
For more details, course syllabus, fees, and enrollment information, please visit our website or reach out to our admissions team. We're here to answer all your queries and help you embark on your journey into the dynamic field of Data Science.
