Become a ML and AI professional with the best Data Science course in Chennai.
Data Science Course in Chennai
Are you looking for the top Data Science course in Chennai? You have found the correct destination. BITA Academy, recognized as the top Data Science Training Institute in Chennai, provides training that is expert-led and projects to develop our students into skilled data science professionals.
Data Science Course Objectives
- Gain an understanding of data science basics by introducing concepts like the data science lifecycle.
- Students are introduced to Python or R programming, its variants, and a comprehensive study of the programming languages. Their choice is between either of the programming languages.
- Become familiar with fundamental statistics, the application of statistical analysis, and the distinction between inferential and descriptive statistics.
- Predictive models, predictive analyses, linear regression, and polynomial regression are among the data science models and algorithms that are available.
- Being acquainted with the algorithms that use supervised and unsupervised learning, hypothesis testing, and reinforcement learning.
Data Science Course in Chennai
Are you looking for the top Data Science course in Chennai? You have found the correct destination. BITA Academy, recognized as the top Data Science Training Institute in Chennai, provides training that is expert-led and projects to develop our students into skilled data science professionals.
Data Science Course in Chennai
Data Science Course Objectives
- Gain an understanding of data science basics by introducing concepts like the data science lifecycle.
- Students are introduced to Python or R programming, its variants, and a comprehensive study of the programming languages. Their choice is between either of the programming languages.
- Become familiar with fundamental statistics, the application of statistical analysis, and the distinction between inferential and descriptive statistics.
- Predictive models, predictive analyses, linear regression, and polynomial regression are among the data science models and algorithms that are available.
- Being acquainted with the algorithms that use supervised and unsupervised learning, hypothesis testing, and reinforcement learning.
Highlights of Data Science Course
- An introduction to Data Science and its significance
- Data acquisition in Data Science life cycle
- Tools that help with experimentation, evaluation, and project deployment
- A variety of machine learning algorithms
- Clustering can be used to predict analytics and segment data
- Big Data Hadoop’s fundamentals
- What is the role and responsibility of a Data Scientist?
- Implementing recommender systems through the use of real-world datasets
- Working in the field of data mining and manipulation
Course Highlights and Why Data Science Course at BITA Academy?
- Our Data Science Course in Chennai equips students with both theoretical concepts and practical applications.
- A comprehensive curriculum that encompasses diverse topics, such as Python/R and Data Science.
- Data Science algorithms can be used by students to build models, analyze datasets from real-world environments, and create interactive visualisations to apply what they have learned.
- Students can attend classes on weekends, weekdays, and fast-track sessions at the Data Science Training in Chennai because of its flexible batch timings.
Data Science Course Objectives
- Gain an understanding of data science basics by introducing concepts like the data science lifecycle.
- Students are introduced to Python or R programming, its variants, and a comprehensive study of the programming languages. Their choice is between either of the programming languages.
- Become familiar with fundamental statistics, the application of statistical analysis, and the distinction between inferential and descriptive statistics.
- Predictive models, predictive analyses, linear regression, and polynomial regression are among the data science models and algorithms that are available.
- Being acquainted with the algorithms that use supervised and unsupervised learning, hypothesis testing, and reinforcement learning.
- An introduction to Data Science and its significance
- Data acquisition in Data Science life cycle
- Tools that help with experimentation, evaluation, and project deployment
- A variety of machine learning algorithms
- Clustering can be used to predict analytics and segment data
- Big Data Hadoop’s fundamentals
- What is the role and responsibility of a Data Scientist?
- Implementing recommender systems through the use of real-world datasets
- Working in the field of data mining and manipulation
Course Highlights and Why Data Science Course at BITA Academy?
- Our Data Science Course in Chennai equips students with both theoretical concepts and practical applications.
- A comprehensive curriculum that encompasses diverse topics, such as Python/R and Data Science.
- Data Science algorithms can be used by students to build models, analyze datasets from real-world environments, and create interactive visualisations to apply what they have learned.
- Students can attend classes on weekends, weekdays, and fast-track sessions at the Data Science Training in Chennai because of its flexible batch timings.
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BITA provides certification courses and data science training in Chennai.   Are you searching for a way to launch your career? Obtaining a data science certification is a significant milestone. Whether you already have experience in data science or not, obtaining a professional qualification in an advanced data science course can help you advance your career and stand out from your competition. Being a certified data scientist gives you the liberty to work anywhere in the world. This Data Science Certification Course is beneficial for college students and freshers because it doesn’t require any coding skills. Enrolling for Data Science training in Chennai, which includes Data Science exams and certifications, is an option.
Data science Certification
- DataScience Foundation Certification – DSF
- Certified Machine learning Expert – CMLE
- Python/R for Data Science Certification
- Statistics for Data Science Certification
- Machine Learning Expert Certification
- SQL for Data Science Certification
- Data Science Business Case Certification
The value of data-driven technologies like artificial intelligence and automation is becoming more and more recognized by companies today. As a result, there is a growing demand for data scientists with a high level of expertise. Data science is being utilized by certain industries, including healthcare, finance, retail, and entertainment. The importance of data and the need for qualified data scientists are recognized by almost every industry and company today. A data scientist earns an average salary of Rs. 6-7 LPA. Entry-level data scientists can make around Rs. 5 lakhs with just one year of experience. Sign up for a Data Science course in Chennai.
Job you can land with Data Science
What you will learn?​
- What is the need for Data Scientist?
- Deep Dive on Data Science Foundation
- Business Intelligence
- What is Data Analysis and Data Mining?
- What is Machine Learning?
- Difference between Data Analytics and Data Science
- Analytics and its types
- Lifecycle Probability
- Deep Dive on Analytics Project Lifecycle
- Deep Dive on Python in Data Science
- What is NumPy?
- What is Matplotlib?
- Pandas
- SciPy
- scikit learn
- Deep Dive on Inferential statistics Descriptive statistics
- Deep Dive on Linear Algebra Probability Calculus
- How to Load Machine Learning Data
- Deep Dive on Data with Descriptive Statistics
- Deep Dive on Data with Visualisation
Prepare Your Data for Machine Learning
- What is the need For Data Pre Processing?
- Data Transforms
- How to Rescale Data?
- How to Standardise and Normalise Data?
- Binarize Data (Make Binary)
Feature Selection for Machine Learning
- What is Feature Selection and Univariate Selection?
- Deep Dive on Recursive Feature Elimination
- What is Principal Component Analysis?
- Feature Importance
Gradient Descent for Machine Learning
- Gradient Descent
- Batch Gradient Descent
- Stochastic Gradient Descent
- Tips for Gradient Descent
Linear Algorithms
- What is Linear Regression and Logistic Regression?
- Linear Discriminant Analysis
Nonlinear Algorithms
- Decision Trees
- Naive Bayes
- Gaussian Naïve Bayes
- Deep Dive on K-Nearest Neighbors
- Learn Vector Quantization
- Deep Dive on Support Vector Machine
Unsupervised Algorithms
- What is Cluster Algorithms?
- What is PCA?
- Recommendation System
- What is User based Collaborative Filter and Item based Collaborative Filter?
Bagging and Random Forest
- Bootstrap Method
- What is Bootstrap Aggregation (Bagging)?
- What is Random Forest?
- Estimated Performance
- Variable Importance
- How to Prepare Data for Bagged CART?
Boost and AdaBoost
- Learn an AdaBoost Model from Data
- How to Train One Model?
- How to Make Predictions with AdaBoost?
- Do you know to Prepare Data for AdaBoost?
Test Machine Learning Algorithms
- How to Split into Train and Test Sets?
- What is K-fold Cross-Validation?
- Leave One Out Cross Validation
- Repeated Random Test Train Splits
- What are the Techniques to Use and When?
Algorithm Evaluation Metrics
- What is Classification Metrics?
- Deep Dive on Regression Metrics
Save and Load Machine Learning Models
- How to Complete Your Model with pickle?
- Tips to complete Your Model
- How to Create Rest services?
Weekdays
Mon-Fri
Online/Offline
1 hour
Hands-on Training
Suitable for Fresh Jobseekers
/ Non IT to IT transition
Weekends
Sat – Sun
Online/Offline
1.30 – 2 hours
Hands-on Training
Suitable for IT Professionals
Batch details
Why should you select us?
Why should you select Us?
