Data Science Training in Hyderabad
Overview
Data science blends scientific methods, processes, algorithms and systems to generate meaningful knowledge or insights from data in various modes: structured or unstructured. This process of extracting meaningful insights becomes all more significant and challenging, when data grows exponentially, generated from various sources. In other words, data science is all about using this data in creative ways to generate value for business for effective decision making.
VRIT Solutions is one of the best data science online training institutes — we offer data science online course with well focused and career-oriented training program in Data Science at Ameerpet, Hyderabad. So, get started by clicking here.
Significance of Data Science in AI
Data scientists can use a variety of AI tools to generate meaningful insights. Though Data Science is an interdisciplinary field encompassing various domains, the beauty of the course is that it does not require any formal degree to get into this area of knowledge. The skills in subjects like mathematics, statistics/operations research, business or many others can be leveraged with strong foundation in basic mathematics and computer programming. Accordingly, data scientists may apply quantitative techniques to get into deeper aspects of mining for generating insights, i.e. inferential models, segmentation analysis, time series forecasting, synthetic control experiments and more. Hence the data-driven insights are quite crucial in offering strategic direction, wherein data scientists act as consultants, offering the right direction to various business stakeholders on how to act on such inferences for effective decision making.
About the Course
VRIT is one of the few institutes in Hyderabad and Ameerpet that offers data science online course — a well focused, career-oriented training program in Data Science. Due to rapid data explosion, thousands of jobs are getting generated on a day to day basis, offering an attractive career proposition for future data science professionals. However, a career driven course, backed by quality infrastructure and support is what students require to make a head start in the Data Science course.
Course Curriculum
- What is Data Science?
- How is Data Science different from BI and Reporting?
- Who are Data Scientists? What skillsets are required?
- What do they do? What kind of projects do they work on?
- Basic Concepts of Statistics
- Introduction to Statistics and different types of variables
- Measures of Central Tendency — Mean, Mode, Median
- Measures of Dispersion — Range, Variance, Standard Deviation
- Probability Basics
- Binomial, Poisson, and Normal distributions with properties
- Sampling methods — Simple Random, Stratified Random Sampling
- Definitions of Sample and Population
- Null Hypothesis and Alternate Hypothesis
- Level of Significance and P value
- t-test, Chi-square test, Z test, F-test
- One and Two way ANOVA
- Covariance and Correlation types with examples
- Data Preparation — Variable Selection, Transformation, Normalization
- Exploratory Data Analysis — Summary Statistics, pattern understanding
- Missing data treatment and Outlier identification
- Visualization — Bar chart, Histogram, Box plot, Scatter plot, Bubble chart, Word cloud
- Model Development, Validation and Implementation
- Real time Telecom, Banking and Retail domain use cases
- Multiple Linear Regression — Introduction, Assumptions, Building Model
- Understanding standard metrics — R-square, Adjusted R-Square
- Logistic Regression — Introduction, Building Model
- Model metrics — Concordance, Gini, KS, ROC Curve, Lift charts
- Partial Least Square Regression (PLS)
- Real time case studies — Telecom, Banking, Retail industries
- Factor Analysis and Principal Component Analysis (PCA)
- Assumptions of PCA, Types of Rotations, Standardization
- CHAID and CART — Decision Trees
- Random Forest — Data Preparation, Missing data imputation, OOB error rate
- Handling imbalance data and Random Variable selection
- Real time use cases — Telecom and Retail Churn identification
- Segmentation for Marketing Analysis — need and criteria
- Clustering algorithms — Hierarchical and K-means clustering
- Deciding number of clusters with real time use case
- Time Series Components — Trend, Seasonality, Cyclicity
- AR Models, ARIMA, UCM, Hybrid Models
- Forecasting Accuracy — MAPE, MAD, MSE
- Use case: Forecasting future sales of products
- Gathering text data from web and other sources
- Collecting Twitter data with Twitter API
- Naive Bayes Algorithm — Assumptions, Building Model
- Processing of Text data — Handling Standard and Text data
- Sentiment analysis — Goal Setting, Text Preprocessing, Parsing, Refinement
- Use case: Healthcare industry — patient sentiment from Twitter data
- Getting started with R — Installation, Command line, Packages
- Matrices, Arrays, Lists, and Data Frames
- Importing/Exporting data in R
- Data Manipulation — Variable transformations, Missing data, Joins
- Conditional Statements and Loops — If Else, For Loop, While Loop
- Functions — Character, Numeric, Apply functions
- Graphical procedures — Pie chart, Bar Chart, Box plot, Scatter plot, Word cloud
- Advanced R — Twitter data extraction, Sentiment analysis, Time series automation
- Introduction to Python — Features, Installation, Documentation
- Language Fundamentals — Data Types, Variables, Expressions
- Conditional Programming — IF/ELSE/ELIF, Loops, Iterators
- Exception Handling — try/except/finally, Custom Exception Types
- Strings, Arrays, Collections, Dictionaries, Sets
- Functions — Anonymous Functions, Decorators, Classes, Modules, Packages
- I/O Handling — File Objects, read() and write()
- Regular Expressions in Python
- Real time projects using different use cases
- Tableau Fundamentals and Analytics
- Visual Analytics — Generating summary reports and charts
- Live connectivity from R to Tableau
- Tableau Interaction with R
Note: This curriculum is just indicative and is not exhaustive. There might be more topics covered.
What's So Unique About Our Institute?
Our Institute is one of the best Institutes in Hyderabad and Ameerpet, offering excellent data science online course, along with live projects to make you a thorough bred professional. Our training is designed to make you confident to crack the toughest of the interviews to get placed in top data science companies.
Our Key Differentiators
Comprehensive Practical Sessions
Every theory session is adequately supported by a practical session with ample time given to students to practice at their own pace. This way, you tend to gain deeper insights and help you understand the concepts better.
Live Project
Our curriculum is designed to have a live project to help you apply the skills learnt in these sessions successfully to real life scenarios.
Top Notch Faculty
Our faculty is drawn from experienced professionals across industry, occupying various positions such as middle managers, data scientists and even experienced faculty from IIMs, IITs and other reputed institutes.
Learn Data Science in Just 200 Hours
Considering the pace you have set to redefine your career, we also share the same responsibility to make you an industry-ready professional within the shortest possible time, without compromising on quality. Our curriculum is designed in such a way that we ensure that you get up to the speed as early as possible to start a career as a data scientist. Select either weekend or weekday mode as per your schedule.
Industry Relevant Curriculum
You learn the latest from us! Our curriculum is constantly updated once in 6 months to keep pace with the emerging technologies in this area, so you are always ahead of others.
Who Should Do This Course?
VRIT solutions is one of the top-notch institutes in Data Science training in Hyderabad, providing the best learning experience with adequate practical exposure to groom you into an all-round Data Science professional. This course is suitable for the following set of professionals:
- Managers
- Data analysts
- Business analysts
- Fresh graduates with basic knowledge in programming & statistical concepts
- Software professionals looking to switch their careers
- Middle level managers, looking to take up lucrative careers in Data Science
Why Learn Data Science?
VRIT solutions is one of the best Data Science online training institutes in Hyderabad that offers industry relevant curriculum and Data Science interview questions, backed by state-of-the-art infrastructure to make you a thorough bred professional in this area of knowledge. To manage large amounts of data, data scientists are required, who can handle large volumes of data; draw inferences and generate spot trends upon the data.
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Data Science Training FAQs | VR IT Solutions
Data Science is the discipline of extracting meaningful insights from large and complex datasets using statistics, machine learning, and programming. Finance, healthcare, e-commerce, logistics, and technology companies are all hiring data scientists aggressively because data-driven decision making has become a core competitive advantage.
The training covers Python, Statistics, Data Wrangling with Pandas, Data Visualization with Matplotlib and Seaborn, Machine Learning, Deep Learning, NLP, SQL for Data Science, Generative AI fundamentals, and end-to-end capstone projects that simulate real industry problems.
No prior programming experience is needed. Our trainers start from Python basics and build your skills progressively toward advanced machine learning and AI concepts. Students from mathematics, statistics, commerce, and engineering backgrounds have all completed this program successfully.
The training covers 100 hours of intensive learning spread across flexible batches. Morning, evening, and weekend options are available depending on your schedule and availability.
You can pursue roles like Data Scientist, Data Analyst, Machine Learning Engineer, Business Intelligence Analyst, and AI Developer. These roles exist across virtually every industry and continue to grow as more companies adopt data-driven strategies.
Entry-level data scientists in India typically earn between 5 and 12 LPA. With 3 to 5 years of project experience and a strong portfolio, professionals commonly move into the 18 to 40 LPA range in product companies and analytics-focused organizations.
Absolutely. VR IT Solutions offers free demo sessions for all courses. You can attend a live class, interact with the trainer, and get a feel for the training quality before making any commitment. Just reach out to our team and we will schedule one for you.
We provide end-to-end placement assistance — from building a job-ready resume to conducting mock interviews with industry experts. Our team actively shares job openings, refers students to hiring companies, and supports you until you land your first role.
Yes. Every trainer at VR IT Solutions has between 8 and 13 years of hands-on industry experience. They have worked on real enterprise projects and bring that practical knowledge directly into the classroom, which makes a significant difference when you face real job interviews.
Course Training
Industry-certified · Real-time projects · 100% Placement Support
Call us: +91-9032734343