Data Science Training in Hyderabad

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Data Science Training in Hyderabad Curriculum

Introduction to Data Science
  • What is data science?
  • How is data science different from BI and Reporting?
  • What is difference between AI, Data Science, Machine Learning, Deep Learning
  • Job Land scape and Preparation Time
  • Who are data scientists?
  • What skillsets are required?
  • What is day to day job of Data Scientist
  • What kind of projects they work on?
  • End to End Data Science Project Life Cycle
  • Data Science roles – functions, pay across domains, experience
Business Statistics
  • Data types
  • Continuous variables
  • Ordinal Variables
  • Categorical variables
  • Time Series
  • Miscellaneous
  • Common Data Science Terminology
  • Descriptive statistics
  • Basics concepts of probability
  • Frequentist versus Bayesian Probability
  • Axioms of probability theory
  • Permutations and combinations
  • Conditional and marginal probability
  • Joint Probability
  • Bayes Theorem
  • Probability Mass Function and Probability Density Function
  • Cumulative Mass Function and Cumulative Density Function
  • Central Tendencies
  • Mean
  • Median
  • Mode
  • Spread
  • Variance
  • Standard Deviation
  • Effects on central tendencies after transformations
  • Quartile Analysis
  • Implementation of central tendencies using python
  • Box Plots for outlier identification
  • Drawing Box plots using python
  • Sampling
  • Need for Sampling?
  • Different types of Sampling
  • Simple random sampling
  • Systematic sampling
  • Stratified Sampling
  • Implementation of sampling techniques using python
  • Data distributions
  • Normal Distribution
  • Binomial Distribution
  • Binomial Approximated to Normal
  • Implementation of distributions using python
  • Inferential statistics
  • Why inferential statistics?
  • Defining p value and implementations using python
  • Inferring from sample to population
  • Sampling distribution of sample means
  • Hypothesis testing
  • Confidence Interval
  • Testing the hypothesis
  • Type I error
  • Type II error
  • Null and alternate hypothesis
  • Reject or acceptance criterion
Introduction to R
  • A Primer to R programming
  • What is R? Similarities to OOP and SQL
  • Types of objects in R – lists, matrices, arrays, data.frames etc.
  • Creating new variables or updating existing variables
  • String manipulations
  • Sub setting data from matrices and data.frames
  • Casting and melting data to long and wide format
  • Merging datasets
Python for Data Science
  • Understanding the reason of Python’s popularity
  • Basics of Python: Operations, loops, functions, dictionaries
  • Numpy – creating arrays, reading, writing, manipulation techniques
  • Ground-up for Deep-Learning
Exploratory Data Analysis with Python
  • Getting to understand structure of Matplotlib
  • Configuring grid, ticks.
  • text, color map, markers, widths with Matplotlib
  • configuring axes, grid
  • hist, scatterplots
  • bar charts
  • multiple plots
  • 3D plots
  • Correlation matrix plotting
Data Munging with Python
  • Introduction to pandas
  • Data loading with Pandas
  • Data types with python
  • Descriptive Statistics with Pandas
  • Quartile analysis with Pandas
  • Sort, Merge, join with Pandas
  • Indexing and Slicing with pandas
  • Pivot table, Aggregate and cross tab with pandas
  • Apply function for parallel processing with Python
  • Determining correlation
  • Handling missing values
  • Plotting with Pandas
  • Time series with Pandas
Introduction to Artificial Intelligence
  • Dealing Prediction problem
  • Forecasting for industry
  • Optimization in logistics
  • Segmentation in customer analytics
  • Supervised learning
  • Unsupervised Learning
  • Optimization
  • Types of AI : Statistical Modelling, Machine Learning, Deep Learning, Optimization, Natural Language Processing, Computer vision, Speech Processing, Robotics
Artificial Intelligence I - Statistical Modelling
  • Linear Regression
  • Assumptions
  • Model development and interpretation
  • Sum of least squares
  • Model validation – tests to validate assumptions
  • Multiple linear regression
  • Disadvantages of linear models
  • Logistic Regression
  • Need for logistic regression
  • Logit link function
  • Maximum likelihood estimation
  • Model development and interpretation
  • Confusion Matrix – error measurement
  • ROC curve
  • Measuring sensitivity and specificity
  • Advantages and disadvantages of logistic regression models
  • Time series analysis - Forecasting
  • Simple moving averages
  • Exponential smoothing
  • Time series decomposition
  • Model validation and deployment
  • RMSE – Root Mean squared error
  • MAPE – Mean Average Percentage Error
  • Confusion matrix and Misclassification rate
  • Area under the curve (AUC) , ROC curve
Artificial Intelligence II – Machine Learning
  • Supervised Learning
  • Decision trees and Random Forest
  • C5.0
  • Classification and Regression trees(CART)
  • Process of tree building
  • Entropy and Gini Index
  • Problem of over fitting
  • Pruning a tree back
  • Trees for Prediction (Linear) – example
  • Tress for classification models – example
  • Advantages of tree-based models?
  • Association Rule Mining
  • Rules generation from decision trees,
  • Apriori algorithm
  • Support, confidence and lift measures
  • Support Vector Machines
  • Linear learning machines
  • SVM case for linearly separable data
  • Kernel space
  • Neural Networks
  • Motivation for Neural Networks
  • Perceptron and Single Layer Neural Network
  • Back Propagation algorithm
  • Feed Forward Neural Net
  • Sigmoid parameters
  • Weights initialization
  • Decay of weights
  • Learning rate
  • Momentum
  • Ensemble Techniques
  • Bagging
  • Stacking
  • Gradient Boosting Machines
  • Unsupervised Learning
  • Clustering Techniques
  • Hierarchical clustering
  • K-Means clustering
  • Distance measures
  • Applications of cluster analysis – Customer Segmentation
  • Collaborative Filtering, PCA
Artificial Intelligence III – Natural Language Processing
  • NLP I - Text Preprocessing
  • Tokenization
  • Stemming
  • Lemmatization
  • NLP II – Text Modelling
  • POS tagging
  • TFIDF and classification
Artificial Intelligence IV - Deep Learning
  • ReLU
  • Sigmoid, Depth vs Width tradeoffs
  • Convolutional networks
  • Concepts of filters
  • Sliding
  • Pooling and Padding
  • Comparison between DL and ML performances over the MNIST dataset
Practical use cases of AI and best practices in AI
  • Business problem to an analytical problem
  • Guidelines in model development
Big Data, Azure for AI, Data Science applications
  • Big data and analytics?
  • Leverage Big data platforms for Data Science
  • Introduction to evolving tools
  • Machine learning with Spark
  • Creation of R-Server clusters
  • Computation of Big-Data ML algorithms over the Azure cloud
Analytical Visualisation with Tableau
  • Why is it important for Data-Analyst
  • Tableau workbook walkthrough
  • Instruction of creation of your own workbooks
  • Demo of few more workbooks

Post the COVID pandemic, there’s an exponentially growth in the Indian analytics industry. Many IT enterprises and tech-based start-up companies are actively hiring skilled Data Scientists who can help them get their economies back on the track. As per the experts view, India would soon become the hub for data analytical job roles and at the same time, the Indian analytics market is expected to reach 6 million dollars in 2025. Post the COVID lockdown phase, more than 3 lakh new job opportunities are generated in Data Science. As Hyderabad has become the hub for IT enterprises, and tech based start-ups, there are many Data Science job vacancies in this city.

Enterprises across the industry verticals like IT, Healthcare, Pharmaceutical, E-commerce, Banking, Insurance, Media, and Retail are among the prominent industries where’s there’s an exclusive demand for Data Scientists. With salary packages ranging as high as $143, 500 to $180, 500, job roles in Data Science have become a lucrative career option for both fresher and working professionals. By equipping students with skills in the latest tools, techniques and algorithms, Kelly Technologies Data Science Training in Hyderabad program prepares you for the high-paying Data Science job roles.

What Exactly Is Data Science?

Data Science is an interdisciplinary field that works deals with the process of interpreting large sets of Big Data to extract actionable insights from large sets of Big Data. In other words, Data Science can be interpreted as the study information which is generated from a variety of data sources (structured and unstructured), and how this information can be turned into a valuable resource that can fuel the Business and IT strategies. Data Science is very crucial for business development as it helps enterprises in leveraging the power of Big Data to its full potential and helps them make strategically accurate business decisions. The diverse techniques in Data Science can help businesses to manage their rein in costs, increase efficiencies, recognize new market opportunities thereby; it helps them gain a competitive advantage over their competitors.

As the demand for Data Science is growing beyond leaps and bounds it has become a lucrative career option for people coming from different backgrounds. This Data Science Training in Hyderabad program lets you stay on the right career path to achieve success in a career in Data Science. This Data Science course is the perfect platform to master the skills in the core technical and non-technical areas that are associated with Data Science.

Why Should You Learn Data Science?

For post-COVID business recovery, enterprises across the industry verticals have started relying on Data Science at large. Both Big Data and Data Science have become the driving force for enterprises to explore unforeseen revenue opportunities. If we look at the stats from the last ten years, we can notice an unprecedented growth in the demand for Data Science. This stupendous growth in the demand for Data Science isn’t limited to any one particular sector and spreads across the verticals like IT, Healthcare, Business, Banking, Telecom, Insurance, Travel, Education, Entertainment, Defence, Government, and several other sectors. Amid the growing demand for Data Science, Data Scientists are being recruited at large by enterprises across the industry verticals.

Data Science Course in Hyderabadprogram equips you with skills in both theoretical and technical aspects of Data Science. By making you handle multiple capstone projects, assignments, and case studies, this course makes you a fully competent Data Scientist.

Course Details

Course Objectives of Data Science Training in Hyderabad Program

Data Science Course in Hyderabad program follows a well-drafted curriculum that covers the complete breadth of the concepts in Data Science. As a part of this Data Science course, students will get to leverage skills both theoretical & practical wise by working on multiple capstone projects & case studies. This Data Science course training is mainly aimed at helping students develop skills in Data Science concepts like


Objectives of this Data Science training program is to help the students

To know about the business intelligence and business analysis
To understand the descriptive statistics of Data analysis
To excel working with Tableau
To get introduced to R and data exploration to R
Understand to create Decision trees.
Understand Data collection and data mining
Know the importance of big data technologies
To Get the prior idea about the Loop functions and debugging tools
To Learn running non-parametric tests
Data Science Training in Hyderabad
Data Science Training in Hyderabad

Modules of Data Science Training in Hyderabad

This Data Science course in Hyderabad program follows a structured curriculum that is specially designed by the expert Data Scientists. We frequently revise and update the content of this curriculum to make it relevant with the current industry standards and it covers all the latest updates in this field. At the foundation level, the curriculum talks about Statistics, Mathematics, Business Intelligence, and Exploratory Data Analysis and this will be followed by topics like Decision Tress, Random Forest, Clustering Techniques, Probability Distribution, Hypothesis Testing, Supervised and Unsupervised Learning, Linear Regressions. In the next part of the course, students will be learning core technical topics like Data Mining Data Modeling, Algorithm Training, Data Visualization, Predictive Modeling, Recommendation Engines, Machine Learning, Text Mining, and Natural Language Processing and further advanced topics. Post this Data Science training completion, students will become fully competent and job-ready specialists in Data Science.

Tools Covered
Data Science Training in Hyderabad
Why Kelly Technologies for Data Science Training
  • Data Science Training in Hyderabad
    Qualified Trainers who are Frontline Data Scientists
  • Data Science Training in Hyderabad
    Capstone Projects Led by Data Scientists
  • Data Science Training in Hyderabad
    Multiple Assignments to Build Practical Expertise
  • Data Science Training in Hyderabad
    Designed for Fresher’s & Working Professionals
  • Data Science Training in Hyderabad
    Curriculum Designed as per Industry Standards
  • Data Science Training in Hyderabad
    Life-Time Access to Learning Management System to View Recorded Sessions
  • Data Science Training in Hyderabad
    100% Placement Assistance
  • Data Science Training in Hyderabad
    Intense Placement-Driven Training (Mock Interviews + Interview Scheduling)
  • Data Science Training in Hyderabad
    Assistance in Resume Preparation
  • Data Science Training in Hyderabad
    Circulating Profile across the top Data Science Recruiting Companies
Data Science Training in Hyderabad

Data Scientists Salary Packages

The entry level salary packages in Data Science are also impressive as many companies are paying salary as high as Rs.6.0 lakhs and above for a certified fresher in this field. Data Scientists with 3-5 years of experience can expect salary packages anywhere between 10 to 14 lakhs per annum. With relevant industry experience and by constantly upgrading skills in this field, one can even expect salary as high as 50 lakhs to a whopping one crore per annum.In India, the analytics industry is facing shortage of skilled Data Science professionals (both fresher and experienced). This is the reason why skilled Data Science experts are being offered such high salary packages.

FAQs for Data Course in Hyderabad

Kelly Technologies is the best institute for Data Science Coaching in Hyderabad. Besides exceptional training delivery, we do support our students with 100% placement assistance.

How Much Salary Does Data Scientist Earn?

Enterprises across the industry verticals like IT, Healthcare, Pharmaceutical, E-commerce, Banking, Insurance, Media, and Retail are among the prominent industries where’s there’s an exclusive demand for Data Scientists. With salary packages ranging as high as $143, 500 to $180, 500, job roles in Data Science have become a lucrative career option for both fresher and working professionals.

Data Science Course in Hyderabad program here at our institute will be equipping you with skills in the latest tools, techniques and algorithms. This course prepares you for the high-salaried Data Science job roles. Post successful completion of this course, you can apply for diverse Data Science job roles like Data Scientist, Data Analyst, Principle Data Scientist, Big Data Analyst, Business Intelligence Expert, etc.

Why Kelly Technologies for Data Science Training in Hyderabad?

Data Science Training in Hyderabad course at our institute is currently the first choice of preference for budding Data Scientists. We follow a well-structured curriculum that includes Data Science topics from multidisciplinary areas like Statistics, Programming, Data Analytics, Business Analytics, Data Modeling, Data Visualization, Decision Trees, K-Means Clustering, Predictive Analysis, and other advanced concepts. By making you work on live capstone projects, this Data Science course will also help you in developing practical skills in concepts like Building Recommender Engines, Predictive Models, Performing Market Basket Analysis, Decision Trees, etc. This course helps you become a fully competent Data Science expert.

Learn Data Science Course from Expert Data Scientists

Best Data Science Training Institute in Hyderabad which we have set up is backed by a team of expert trainers. We have carefully hand-picked our trainers from the Data Science industry and they are having more than 10+ years of real-time industry experience working as Data Scientists. Our trainers will help you develop skills that most of the recruits usually look for in their ideal candidates at the time of the Data Science hiring process. Our trainers will prepare you for the leading Data Science job roles across MNCs’ and the trending start-ups. You will learn the topics by doing practicals on multiple capstone projects and assignments. By the time of your Data Science course completion, you would have developed all the essential skills needed to handle the real-world challenges across the industry verticals. So, if you are a budding Data Scientist who’s curious about learning Data Science topics right from the basics then joining this course would surely be an apt choice.

Who Should Go For This Data Science Course in Hyderabad Program?

Data Science Training in Hyderabad course at our institute will be the perfect choice for budding analytics career enthusiasts who wish to build a career in the field of Data Science. As the course complements the present industry requirements even working professionals who are looking towards a career shift into Data Science can get enrolled for our Data Science course. If you are new to programming & stats then there’s nothing to worry about, we have got you covered. Our Data Science training will cover the concepts right from the scratch. You will learn the basics of Statistics, R, Python programming to advanced AI, Machine Learning, Business Analytics & Predictive Analytics, Text Analytics and more.

Data Science Course in Hyderabad program from our institute would benefit the set of audiences belonging to diverse job roles such as

  • Data Science Career Enthusiasts
  • Project Managers
  • Data analysts
  • Business analysts
  • Database Administrators
  • Networking Operators
  • IT Developers & Software Professionals
  • Job Seekers
  • Freshers/Graduates
  • End users

Placement Program

Data Science Course in Hyderabad program at our institute is placement-focused. We will be helping students in boosting their confidence to clear interview rounds by conducting multiple mock interview sessions. Our trainers & mentors will be carefully monitoring the performance of each and every student who will be then suggesting valuable guidelines following which students can greatly improve their overall performance. We will also be assisting the students in resume preparation and interview scheduling. We will be extending our 100% placement assistance to the students to help them get successfully placed.

So wait no more, the time is ripe to step into the job market of Data Science. Master knowledge of the top Data Science skills & attributes that would get you instantly hired by enrolling in our Data Science Training in Hyderabad program.

If you are interested in learning Data Science then look no further beyond our Data Science Training in Hyderabad program. You can sign up for our Free Demo Session on Data Science course and take the opportunity to interact with our expert trainers and get a clear picture of the Data Science industry landscape.

Enroll now for A Free Demo Session on Data Science & take the chance to interact with our expert Data Science trainers.



Data Science course at this institute is highly suggesting if you want to learn in depth about concepts in Data Science. They have crafted a well-structured curriculum matching with the current industry requirements. This course has helped me to excel well in coding for data.


The trainer in this course is a real-time specialist and he has explained the concepts to us in detail by giving not just one but multiple real life great examples. The support team also did a good job by keep us posted about the job vacancies. He was proactive when it comes to addressing our queries.


The course here is well structured with good content coverage. Faculty was himself an expert Data Scientist and his lucid explanation of concepts using simple and relevant examples has helped us in better understanding of the concepts. Real-time projects and assignments.