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Data Science Course in Nagercoil With Certification

  • 3 Months
  • English
  • Certified Course

Data Science is used for extracting and analysing data. It is used to find insights in data and help businesses make better decisions for their operations. It also uses machine learning algorithms. It has applications like fraud detection and image recognition.

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  • cognizant
  • microsoft
  • ibm
  • wipro
  • Amazon
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Certificates

Data Science Course Overview

Data Scientists have more job opportunities as they can find work in both the IT and business sector. Getting a certification can help students get a higher paying job and advance further in their career. Freshers usually start in positions like data analyst and then become data scientists or data engineers later. Data Scientists can also find work in areas like finance, healthcare, and retail.

This field is good for those who can do mathematics and statistics well. Professionals here have to learn and keep up with changes in the field and solve problems. Individuals can improve their skills through this career. It also offers high-paying jobs and has a lot of demand, as businesses want to understand their customers to improve their marketing efforts.

Tools in Data Science

Some of the tools taught in this course are

Career Opportunities

Data Science offers many interesting job roles. People in this field can explore various areas and use data to help businesses improve their operations. They can also create a positive change this way in different industries.

Data Scientist

These professionals extract data from various sources. They then find trends from it to help businesses make better decisions. They also create visualisations to present their findings.

Data Analyst

Data Analysts collect data to identify patterns and insights. They remove errors and ensure its accuracy. They also prepare reports to share their insights with the business.

Data Engineer

They make sure data is accessible for businesses to use it and improve their performance. They create the systems to collect and manage data so data scientists and business analysts can analyse it.

Data Architect

They create frameworks for data storage and analysis and make sure the data is consistent and reliable. They also define standards and protocols for managing data within an organisation.

Business Intelligence Analyst

They find patterns in data they gather and present their findings to the business. They also have to share their insights on the business’s operations and improve its efficiency.

Machine Learning Engineer

Machine Learning Engineers design machine learning systems. They train and retrain models to improve their performance. They also carry out experiments and test the models.

Data Science Course Syllabus

Total : 135 hours

  • Overview of Data Science and its applications
  • Importance of Data Science in various industries
  • Introduction to the Data Science life cycle

  • Data Collection techniques
  • Data preprocessing techniques
  • Data cleaning and transformation
  • Data wrangling

  • Review of basic maths concepts
  • Descriptive statistics and exploratory data analysis
  • Probability theory and distributions

  • Introduction to supervised and unsupervised learning
  • Linear regression and logistic regression
  • Decision trees and random forests
  • Support Vector Machines

  • Evaluation metrics for regression and classification models
  • Cross-validation and overfitting
  • Hyperparameter tuning

  • Deploying models in a production environment
  • Communicating findings to non-technical stakeholders
  • Creating data-driven reports and visualisations

  • Introduction to Python programming language
  • Data manipulation and exploration with Pandas library
  • Data visualisation with Matplotlib and Seaborn libraries

  • Introduction to deep learning and neural networks
  • Deep Neural Networks
  • Architectures

  • Introduction to NLP and its applications
  • Text preprocessing techniques
  • Text classification and sentiment analysis

  • Processing and analysing large-scale datasets
  • Real-time streaming analytics

  • Advanced model deployment techniques
  • Building scalable and robust production systems
  • Monitoring and maintaining models in production

  • Data privacy
  • Data governance
  • Ethical considerations

Placement Assistance

Our expert coaches provide guidance for students in choosing an appropriate career path after their course and getting placed through services like

Mock Interviews
Mock Interviews

Students can gain feedback and prepare for interviews through expert help.

Internships
Internships

Students can improve their practical exposure and learn new skills with internships.

Resume Building
Resume Building

Experienced mentors guide students in creating an impressive resume.

Career Counselling
Career Counselling

Students can talk to their mentors and choose a career based on their goals.

Job fairs
Job fairs

Students can create connections with potential employers and get more job opportunities.

FAQs

Yes, it offers jobs with a high salary.

You can learn from experts and gain confidence to get a job in data science.

Yes, we teach Python in this course.

Yes, you can learn according to your style.

Yes, we offer support in choosing a suitable career path and getting placed.

Yes, we offer internships.

Yes, we can help you gain interview skills and increase your confidence.

Yes, you will learn about ML in this course.

Yes, you will learn about Big Data in this course.

Yes, you can attend campus drives and get job opportunities.

Want to Enter a Career in Data Science?