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Data Science

Data Science

Siva Priya
By Siva Priya In Data Science
  • Last updated 04/2023
  • Certified Course
Security

Data Science

About The Course

Data Science is an interdisciplinary field that focuses on collecting, analyzing, and interpreting large volumes of data to extract meaningful insights and support informed decision-making. It combines programming, statistics, mathematics, and domain knowledge to identify patterns, trends, and relationships within data, helping organizations understand past performance and predict future outcomes.

Data Science @ Learnage Academy

A Data Science course typically covers Python or R programming, data cleaning and visualization, exploratory data analysis, machine learning algorithms, and basic concepts of artificial intelligence and big data tools. It prepares learners to work with real-world datasets and build predictive models used across industries such as healthcare, finance, e-commerce, and technology, offering strong career opportunities in roles like Data Analyst, Data Scientist, and Machine Learning Engineer.

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Certificate

  • Duration: 50 Hours
  • Number of Question: 80-100
  • Format: Multiple choices

Prerequisites

  • Anyone having interest in Data Science.
  • Knowledge of using computer.
  • Basic internet skills.

Training - Deliverables

  • Training
  • Books
  • CD's
  • Participation Certificate
  • Regular Track: 04 Months (120 Days)
  • Exam Duration: 3 Hours

Topics Covered

  • Role of Data Science in business and research
  • Data Science workflow
  • Introduction to Big Data concepts
  • Overview of tools: Python, R, SQL,Tableau

  • Python: basics to advanced topics
  • Data structures, functions, and OOP basics
  • Libraries: NumPy, Pandas, Matplotlib, Seaborn, Plotly
  • Version control (Git/GitHub)

  • Importing data from multiple sources
  • Data wrangling and preprocessing
  • Handling missing values and outliers
  • Feature engineering

  • Univariate, Bivariate, and Multivariate analysis
  • Advanced visualizations: heatmaps, pairplots
  • Dashboard creation with Excel and Power BI

  • Descriptive and inferential statistics
  • Probability distributions
  • Hypothesis testing
  • Correlation and regression analysis

  • Supervised Learning: regression, classification
  • Unsupervised Learning: clustering, dimensionality reduction
  • Model evaluation and selection
  • Cross-validation and hyperparameter tuning

  • Time Series Analysis
  • Natural Language Processing (NLP) basics
  • Introduction to Deep Learning (Neural Networks)
  • Recommendation systems

  • Introduction to Hadoop, Spark
  • Basics of SQL and NoSQL databases
  • Cloud platforms overview (AWS, GCP, Azure)

  • Real-world projects with end-to-end pipeline
  • Data collection, cleaning, analysis, visualization, and modeling
  • Presentation of insights and reports

WHO CAN JOIN THIS PROGRAM?

  • Students & fresh graduates
  • Job seekers looking for IT roles
  • Non-IT learners shifting to Data Science
  • Working professionals upgrading skills
  • Anyone interested in QA & Testing

No technical/coding background required — all concepts start from basics.

ABOUT REDBACK ACADEMY

Redback Academy is a trusted training institute in Vellore offering practical, industry-focused learning programs. Our aim is to help students and professionals gain hands-on experience with real-world tools and technologies.

We also offer training in:

  • Data Analytics
  • Web Development
  • Cyber Security
  • Python Programming
  • Networking & More

Our practical teaching approach and expert mentorship ensure learners become job-ready.

Featured review

Rakesh. M

“This Data Science course provides clear concepts, practical learning, and strong industry relevance.”

Kaviya .S

“A well-designed Data Science course that balances theory with hands-on projects effectively.”

Mymika. S

“Perfect for beginners, this Data Science course starts from basics and gradually moves to advanced topics.”

Sudhan A.

“An excellent Data Science course that boosted my confidence in data analysis and problem-solving.”

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Frequently Asked Questions

Data Science is the field of analyzing and interpreting data using statistics, programming, and machine learning to extract useful insights and support decision-making.

Anyone with an interest in data can learn Data Science, including students, freshers, working professionals, and people from IT or non-IT backgrounds.

A prior programming background is helpful but not mandatory. Most courses start with basics of Python and gradually move to advanced concepts.

Python is the most widely used language. R and SQL are also commonly used for data analysis and database querying.

Basic knowledge of statistics, probability, and linear algebra is required. Advanced mathematics is usually not needed for beginners.

Common tools include Python libraries (Pandas, NumPy, Matplotlib), Jupyter Notebook, SQL, Excel, Power BI/Tableau, and machine learning frameworks.

Yes, both online and offline classes are available.

You can contact us through our website, call, or visit our training center.
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