Course Description
Toque Academy’s Data Science and Machine Learning program in Manglore empowers learners with the technical and analytical skills required to thrive in the data-driven world. This program provides in-depth training on the entire data science lifecycle—from data collection, cleaning, and exploration to advanced machine learning and predictive modeling techniques. Students will develop expertise in working with real-world data to make impactful decisions across industries such as finance, healthcare, marketing, and technology.
Through practical projects, case studies, and hands-on lab sessions, learners gain strong competencies in building machine learning models, automating analytical workflows, and presenting insights with visual storytelling. The curriculum is designed to prepare students for high-demand roles like Data Analyst, Machine Learning Engineer, and Data Scientist, helping them stand out in a competitive job market.
Skills Covered in Spoken English
- Data handling and preprocessing using tools like Python, R, and Excel to clean, organize, and prepare data for analysis and modeling.
- Statistical analysis and data modeling to extract meaningful patterns, perform hypothesis testing, and make data-driven decisions.
- Machine learning algorithms including regression, classification, clustering, and recommendation systems to solve real-world business problems.
- Advanced data visualization skills using Power BI, Matplotlib, and Seaborn to present data insights through dashboards and reports.
- Model evaluation and optimization practices such as cross-validation, performance metrics, and hyperparameter tuning to ensure robust, scalable models.
- Project development and deployment using tools like Jupyter Notebook, Git, and cloud platforms to create end-to-end data science solutions and share results professionally.
Frequently Asked Questions (FAQ)
What is the duration of the Data Science and Machine Learning program at Toque Academy, Manglore?
The program typically runs between 3 to 6 months, depending on the chosen track (beginner or advanced) and includes both theoretical lessons and hands-on project work.
Who is this program ideal for?
This course is ideal for students, recent graduates, IT professionals, analysts, software developers, and anyone interested in building a career in data science, analytics, or AI.
What tools and languages are taught in the program?
Learners gain practical experience with Python, R, Excel, Power BI, and essential libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn.
Are there any prerequisites to join this course?
Basic knowledge of programming and mathematics is recommended but not mandatory. The course starts with foundational concepts and gradually advances.
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