Data Science Training

Suresh IT’s Coaching Training Center introduces an immersive Data Science Training program meticulously crafted to equip participants with advanced skills in data analysis, machine learning, and predictive modelling. This comprehensive course covers a wide range of topics including statistical analysis, data preprocessing, feature engineering, supervised and unsupervised learning algorithms, and model evaluation. By mastering data science techniques and tools such as Python, R, and TensorFlow, graduates are well-prepared to tackle real-world data challenges, derive actionable insights, and drive data-driven decision-making in organisations.

Course Duration

2 Months

Course Language

English/Hindi/Telugu

Classroom

Offline/Online Training/Hybrid Training

Contact

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Description

The Data Science Training course is a comprehensive program designed to equip individuals with the knowledge and skills needed to thrive in the field of data science, which involves extracting insights and knowledge from structured and unstructured data. Geared towards aspiring data scientists, analysts, and professionals from diverse backgrounds, this course offers practical training in data science concepts, techniques, and tools.

Throughout the course, participants will explore various aspects of data science, including data exploration, data preprocessing, statistical analysis, machine learning, and data visualisation. They will learn how to collect, clean, and analyse data using popular programming languages such as Python or R, as well as industry-standard libraries and frameworks such as Pandas, NumPy, scikit-learn, and TensorFlow.

Moreover, the Data Science Training course covers essential topics such as predictive modelling, classification, clustering, regression, and deep learning, enabling participants to build and deploy machine learning models to solve real-world problems. Participants will also learn how to communicate their findings and insights effectively through data visualisation techniques and storytelling.

By the end of the course, participants will be proficient in using data science tools and techniques to extract actionable insights from data, enabling them to make informed decisions, drive innovation, and create value for their organisations. With their newfound expertise in data science, participants will be well-equipped to pursue rewarding career opportunities in data-driven industries such as finance, healthcare, retail, and technology.

Skills you get

Course Contents

Introduction to Data Science

What is Data Science?
Data Science Lifecycle
Roles and Responsibilities
Importance and Applications of Data Science
Tools and Technologies Overview (Python, R, SQL, etc.)

Data Acquisition and Cleaning

Data Collection Methods
Data Formats (CSV, JSON, XML, etc.)
Data Cleaning Techniques
Data Integration and Transformation

Exploratory Data Analysis (EDA)

Descriptive Statistics
Data Visualization
Univariate, Bivariate, and Multivariate Analysis
Correlation and Covariance Analysis

Statistical Analysis

Probability Distributions
Hypothesis Testing
Regression Analysis
Time Series Analysis

Machine Learning Fundamentals

Introduction to Machine Learning
Supervised Learning
Unsupervised Learning
Model Evaluation and Validation

Advanced Machine Learning Techniques

Dimensionality Reduction
Ensemble Learning
Neural Networks and Deep Learning
Natural Language Processing (NLP)
Recommender Systems

Big Data and Distributed Computing

Introduction to Big Data Technologies
Distributed Data Processing
Parallel Computing
Working with Large-scale Datasets

Data Science in Practice

Data Visualization Best Practices
Model Deployment and Monitoring
Ethical Considerations in Data Science
Case Studies and Real-world Applications
Future Trends in Data Science

Capstone Project

Applying learned concepts and techniques to solve a real-world data science problem
Define problem, collect and preprocess data, perform exploratory analysis, build predictive models, present findings and recommendations

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Frequently asked questions

General Program Information

What is the Data Science training program about?

This training program is designed to teach participants the fundamental concepts and skills required for a career in Data Science, including data analysis, machine learning, statistical modeling, and data visualization.

2. Who is this program intended for?

The program is ideal for beginners who want to enter the field of Data Science, as well as professionals looking to enhance their skills or make a career transition.

3. What are the prerequisites for enrolling in the program?

No prerequisites for enrolling in the program.

Curriculum and Content

4. What topics are covered in the training program?

The curriculum includes Python programming, data manipulation with Pandas, statistical analysis, data visualization, machine learning algorithms, and real-world project work.

5. How is the training program structured?

The program consists of a series of modules, each focusing on a specific aspect of Data Science. It includes lectures, hands-on exercises, quizzes, and capstone projects.

6. What type of projects will I work on?

Participants will work on real-world projects such as predictive modeling, data cleaning, exploratory data analysis, and deploying machine learning models.

Enrollment and Fees

7. How can I enroll in the program?

You can enroll by visiting our website and completing the registration form.

8. Are there any discounts or scholarships available?

Yes, we offer early-bird discounts, group discounts, and need-based scholarships. Check our website for current promotions and scholarship application details.

9. What if I miss a class or a session?

Recorded sessions or in – person classes can be arranged based on need of the student.

Learning Experience

10. What is the mode of instruction for the program?

The training is delivered through a mix of offline , online and Hybrid sessions with live recorded lectures, hands-on exercises, and assignments.

11. What is the duration of the training program?

The training program spans of 8 to 10 weeks with Monday to Saturday.

12. Will I have access to course materials after the program ends?

Yes, you will have lifetime access to all course materials, including videos, lecture notes, and project files.

Support and Resources

13. What kind of support is available during the program?

Students receive continuous support through offline & online support, Q&A sessions with instructors, and access to course materials and resources.

Certification and Career Support

14. Will I receive a certificate upon completion?

Yes, upon successful completion of the program and all assignments, you will receive a certificate of completion that can be shared on LinkedIn and included in your resume.

15. Do you provide job placement assistance?

Yes, we offer career support services, including resume building , reviews, interview preparation,mock-interviews and job placement assistance through our network of hiring partners.

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