Data Science Training in Hyderabad with Placements

Digital Nest Offers Data Science training in Hyderabad, India. Data Science Trainings are now high in demand as Data Science is now an integral part of every organization to make decisions. It's called predictive analytics for commercial purposes. Data Science training in Hyderabad is now in demand.

Metro Cities like Hyderabad, Bangalore, Mumbai, and Pune in India has got a lot of data analytics companies that are programming in solving the challenges across the globe. Today if you see Facebook, Uber, Amazon Alexa, iPhone Siri, Mobile games, Google Search runs its applications using various data science applications.

Data Science is the most enthusiastic career of the century, and this has undoubtedly attracted you to get lightened on the data science career path & Data scientists are now crucial for the companies to solve the complex challenges. Keeping the demand and supply gap digital nest at Hyderabad had started Data Science Training Institute in Hyderabad, India

We at Digital Nest have decided to start a very comprehensive Data Science course at Hyderabad, keeping industry, students, and professionals in mind. We have built an effective curriculum such that no other Data Science institutes can match with the Data Science content that we have Science companies, data science institutes, data science training, Data science course, data science institutes in hyderabad

We prefer quality in any course we deliver when it comes to data science training, Our curriculum shows you the kind of modules we teach in every training module so that there should not be a retake of data science training for a student to learn the course again, We have included every topic on Data Science in our curriculum making it the most acclaimed training in India.

We also want every Data Science course trainee to be happy for data science training for which we have taken initiatives in preparing the exercise handouts, and materials, which can help the data science students in executing during the practice sessions that are held for the Data Science training.

Digital Nest offers a Data Science training at two primary locations in Hyderabad, one is at Panjagutta, which is located near the training hub of Ameerpet and one which is at the Hitech city, the silicon valley of Hyderabad where there are 100’s of software companies.

Digital Nest has the best faculty who hail from IIT Madras, who also work for TOP Notch MNCs like Bank of America, Amazon & Franklin Templeton. We have done vigorous research in finding the right faculty for the data science training courses. The tough job of this kind of course is it involves many modules that cannot be taught data science by a single trainer. So we did good R & D and found the best academicians who are real-time industry experts in data science. The curriculum that is designed by the faculty at the digital nest for data science course is one of the best which no other institute in Hyderabad can offer.

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We have a dedicated placement portal for the students who are seeking jobs in data science. The Placement coordinator has to provide job assistance, this will ensure every student of data science gets placed.

Not only from Hyderabad, but we also get students enrolling from Bangalore, Nagpur, Bhubaneshwar, Delhi, Mumbai, Pune & various other cities, India. We also conduct corporate training sessions across the globe.

Data science Training consists of SQL, RPA Training, R Training, Python Training, Tableau, Data visualization along with that we also offer big data training in Hyderabad where we teach topics like Hadoop course and spark course.

Digital Nest Also specializes in teaching Digital Marketing Course Our centers are located at Hitech city & Panjagutta At  Hyderabad

Some of the data science stats from BusinessWorld is shown in the pic


Data Science Course Highlights

We go beyond Data Science Training !!

  • Course is curated by real time industry experts of Data Science
  • Trainers with 15+ years of experience in Data Science
  • 100% assured placement Assistance
  • State of the art training center
  • Dedicated placement team
  • Case study Approach for data science
  • Real time examples in data science training
  • Exercises and handouts after every session
  • Data Science Certificate after completion of the course
  • Curated Lab facility for Data Science
  • Trainer support after completion of  data science course

Data Science Course Structure

Curriculum designed by subject matter experts in Data Science!

1Introduction to Data Science
  • What is Data Science?
  • Data Science Life Cycle
  • What is Machine Learning?
  • What is Business Analytics?
  • What is Artificial Intelligence?
  • Data Science vs Machine Learning vs AI
  • Types of Data
  • What is Big Data?
  • Software vs Data vs Cloud
  • Real time applications on Machine Learning
  • 2Statistics
  • Data Types
  • Statistical parameters, variance, standard deviation, range
  • Categorical and Quantitative Data
  • Descriptive Statistics
  • Statistical Inference
  • Sampling and Sampling Distributions
  • Correlation, Covariance and Causation
  • Central Limit Theorem
  • Confidence Interval
  • Hypothesis Testing and Error Types
  • t-test and types of t-test
  • Analysis of Variance (ANOVA)
  • Introduction to Probability
  • Probability Distributions
  • Bernoulli, Uniform, Binomial, Normal Distribution
  • Poisson and Exponential Distribution
  • Skew Normal Distribution
  • Z-Score
  • 3Exploratory Data Analysis(EDA) and Data Visualization
  • What is EDA and its Importance
  • Statistical approach (Data Collection, Descriptive statistics, Data Mining)
  • Importing the Data
  • Data Frames
  • Variables, Transformation
  • Standardization and Normalization
  • Validation and Interpretation
  • Distributions
  • Histograms, Outliers
  • Summarizing Distributions
  • Graphs
  • Bar Charts
  • Box-whisker plot
  • Scatter plot
  • Pie Charts
  • Bubble Charts
  • 4Introduction to R Programming
  • Why R and importance of R in Analytics
  • Installation of R and R-studio
  • Working Directories
  • Data Types
  • Operators
  • Loops-For and While
  • If-else statements, Nested statements
  • Objects, and Vectors
  • Strings
  • Arrays
  • Lists
  • Factors
  • Data Frames
  • Pipe Operator
  • Functions (Predefined and User defined) apply, l-apply, s-apply, m-apply, t-apply, v-apply Subset/filter, which, sample, match, sort, mutate, grep, summary,gsub, select, groupby, gather, separate, Posixct
  • Joins (Inner, Outer, Left, Right, Semi, Anti) in Data Frames.
  • Univariate Analysis
  • Dplyr, Lubridate, Tibble
  • 5Data manipulation using SQL
  • Introduction to SQL and Data bases
  • SQL developer installation
  • Data types
  • Data types and Operators
  • Create and Drop data base
  • DDL,DML, DCL ,TCL, Sorting commands and other keywords
  • Advanced SQL-Wild cards, Constraints, Joins, Unions, NULL, Alias, Truncate, Views, Sub queries
  • Exam
  • 6Introduction to Python Programming
  • What is Python?
  • Importance of Python in Data Science
  • Python Installation Guidelines (Anaconda Navigator)
    • Python Fundamentals
  • Keywords
  • Built-in functions
  • String Formatting
  • Indexing
  • Slicing
  • Sequences
  • Error handling in Python (try, catch, finally)
  • Ignoring Warnings
  • User-defined functions
  • Nested functions
  • Lambda, zip and map
  • Local and global variables
  • If-else statements, Nested statements
  • Loops, Nested Loops, For, While loop
  • Performance measurement of loops
  • Loop control statements
  • Continue, Break, Pass
  • Class, Constructor and methods
    • Python Data Structures
  • Lists, Lists Comprehensions
  • Sets
  • Tuple
  • Dictionary
  • Importance of each type
    • Data Handling with Python
  • Introduction to NumPy, Pandas
  • Arrays and Matrix
  • Importing and exporting datasets in Python
  • Creating Data Frames
  • Data Manipulations
  • Scikit-Learn libraries
  • Data Visualizations in Python
  • Matplotlib, Seaborn, and GGplot
  • Feature Engineering: Feature Selection and Extraction
  • Model Selection
  • Training, Testing and K-Fold cross validation
  • 7Introduction to Machine Learning
      Machine Learning
  • Types of Machine Learning
  • What is Supervised, Un-Supervised and Reinforcement
  • What are the types of each learning technique
  • Algorithms used in Machine Learning techniques
  • Difference between Data Science, Machine Learning and AI
    • Generalized Linear Models (GLM)
  • Introduction to generalized linear models
  • Understanding of Linear and Logistic Regression
  • Underfitting and Overfitting
  • Trade-off between Bias and Variance
  • Regularization techniques (Ridge, Lasso, Elastic-Net Regression)
  • Ordinary Least squares
  • Maximum Likelihood
  • Sigmoid Function
  • Cost Function
  • Gradient Descent
  • One-hot Encoding
  • Label Encoding
  • Model Evaluation metrics
  • Feature Engineering (Features Selection, Extraction)
  • R-Square, Adjusted R-Square, RSME
  • Confusion Matrix
  • Evaluation metrics (Precision, Recall, F-Score, Accuracy)
  • Sensitivity and Specificity
  • ROC-AUC curves
  • Assumptions of Linear Regression
  • Imbalanced Data
  • Sampling issues- Over sampling and Under sampling
  • SMOTE, ADASYN and Near Miss
    • Decision trees and Random Forests
  • Introduction of Decision Tree and its applications
  • Types of Decision Tree
  • Terminologies in Decision Tree
  • Pros and Cons of Decision Tree
  • CHAID analysis
  • Root nodes Identification
  • Gini Index, Entropy, Chi-Square, Reduction in Variance
  • Solution for overfitting in Decision Tree
  • Tree pruning
  • Hyperparameter tuning
  • Random Search and Grid Search for auto selection of parameters
  • What is Bagging?
  • Introduction to Random Forest and its applications
  • Importance of Random Forest
  • Significant feature selection using Random Forest classifier
    • Boosting Machines
  • Ensembling Techniques
  • Bagging vs Boosting
  • Gradient Boosting Algorithms
  • Gradient Descent in Boosting Algorithms
  • Gradient Boosting Machines, XGBoost, and AdaBoost
  • Regression and Classification boosting techniques
  • Stacking
  • Pros and Cons of boosting Machines
  • 1Clustering
  • Introduction to clustering
  • K-Means clustering
  • Elbow Method
  • Hierarchical clustering
  • Real time applications
    • Text Mining
  • Introduction to Text Analytics and Text Mining
  • Introduction to NLP
  • Real time applications
  • Extractingtext from files
  • Data cleaning
  • Introduction to NLTK library
  • Count Vectorizer
  • Understanding of Stopwords and regular expressions
  • Stemming and Lemmatization
  • Word Cloud
  • N-grams
  • Fuzzy String Matching
  • Levenshtein Algorithm
  • Jaro-Winkler Algorithm
  • Cosine Similarity
  • Named Entity Recognition (NER)
  • 2K-Nearest Neighbors (KNN)
  • What is KNN and why do we use it?
  • KNN-algorithm and regression
  • Curse of dimensionality and brief introduction to dimension reduction
  • Pros and cons of KNN
  • KNN-outlier treatment and anomaly detection
    • Naïve Bayes and SVM
  • What is Naïve Bayes
  • Bayes theorem, Conditional Probability
  • Real time applications
  • Pros and cons of Naïve Bayes
  • What is Support Vector Machines (SVM)
  • Training time complexity
  • SVM Classifier
  • Hyperplane, margin and Kernel
  • Hyperparameter tuning
  • Linear and Non-Linear SVM
    • Dimensionality Reduction
  • Introduction to Dimensionality Reduction and its importance
  • Principal Component Analysis (PCA)
  • Kernel PCA
  • Singular Value Decomposition (SVD)
  • Linear Discriminate Analysis (LDA)
  • T-Distributed Stochastic Neighbor Embedding (t-SNE)
  • Applications of Dimensionality Reduction
  • 3Time Series Forecasting
  • Introduction to forecasting
  • Data processing and indexing time
  • Time Series & Time Series forecasting
  • Understanding of Stats Models
  • Auto Regressive Integrated Moving Average (ARIMA) model
  • Components: Seasonality, Trend and Noise
  • Autocorrelation
  • Parameter Selection for ARIMA Time series
  • Forecasting and Smoothing methods
  • Forecasts Validation
  • Simple moving average
  • Exponentially weighted moving average
  • 4Deep Learning & Neural Networks
  • Introduction to Neural Networks
  • Understanding of ANN
  • Understanding of CNN
  • Understanding of RNN
  • Basic understanding of Feed Forward and Backward propagation
  • Gradient Descent in Neural Networks
  • Stochastic Gradient Descent in Neural Networks
  • Use case of ANN in Python
  • 5Data Visualization in PowerBI
  • Introduction to PowerBi
  • Importance of PowerBi
  • PowerBi Architecture
  • Installation of PowerBi Desktop version
  • Data Visualization
  • Slicers
  • PowerBi connection to multiple data sources
  • Bar plots, Pie-Charts and many other
  • Exporting table from the report
  • Publish Workspace
  • Data refresh
  • Scheduling refresh
  • Expose report to web applications
  • Basic and Advanced filtering
  • Data Analysis Expression (DAX) basics
  • 6Azure ML Studio
  • What is Azure cloud?
  • Importance of Machine Learning in Cloud.
  • What is Azure ML Studio?
  • What are the components of Azure ML Studio?
  • Experiment/Use case in Azure ML Studio.
  • Deploying the Trained model as a web service.
  • Consumption of Web services
  • 7Capstone Project
    Choose from wide range of projects.
  • Capstone project in Retail Industry
  • Capstone project in Healthcare Industry
  • Capstone project in Finance Industry
  • Capstone project in Insurance Industry
  • Capstone project in Education Industry
  • Capstone project in Ecommerce Industry
  • Data Science Training Schedule

    7AM to 9PM, 9 Batches, 2 Centers at your Flexible Timings with E-learning & Online options

    7AM to 9am (IST) (Mon-Fri)
    11AM to 1PM (IST) (Mon-Fri)
    7PM to 9PM (IST) (Mon-Fri)

    *IST:: Indian Standard Time

    Location: Madhapur & Panjagutta
    10AM to 2PM (IST)
    Saturday & Sunday
    8am to 12pm (IST)
    12pm to 3pm (IST)
    3pm to 6pm (IST)
    6pm to 9pm (IST)
    10pm to 1pm (IST)
    Saturday & Sunday
    7am to 9am (IST) (Mon-Fri)
    5am to 7am(IST) (Mon-Fri)
    2pm to 4pm(IST)
    7pm to 9pm (IST) (Mon-Fri)
    *IST = Indian Standard Time

    How E-Learning Works?

    Our Data Science e-learning video by Digital Nest is recorded by the industry's best trainers in data science with excellent subject knowledge expertise and who have deemed the best trainers in the Data science industry. We have recorded videos of the trainer. These videos were recorded while taking the class. We kept in mind that student should feel the classroom environment while training. All the associates will be given access to our state-of-the-art Learning management method at Digital Nest Prime, where one can access end to end course videos at your vicinity & convenience sitting back at your home. All the videos are accessible from your desktop, mobile, tablet, Etc.We request you to take a trail session. If you are satisfied you can take up the course.

    For trail session and more information you can contact digital nest sales team on +91-8088998664or write us at

    We offer special Training for Companies we first understand the company requirement then our data science experts at digital nest will create customized curriculum that suits to the needs of the company.

    For Corporate training you can Reach our Sales Team at +91-8088998664 or you can also write to us at

    We conduct seminars, 1 day, 1 week Workshops on various data science Practices. We are also ready to offer free Guest Lecture On Data Science, where in we educate students on modules present in data science, its careers and scope.

    For B School Training you can Reach our Sales Team at +91-8088998664 or you can also write to us at

    Data Science Course Training

    Frequently Asked Questions (FAQs)

    We go beyond Training !!

    Who Can Learn data Science

    Any graduate or postgraduate who is passionate about making machines as humans using analytical and logical skills would be the right candidate for the Data Science course. Comp/ Stats/Maths/BSC Comp/Maths/PGDM People who are working in software or decision making environment can also opt for this data science  course, like testing engineers, Developers, product managers, sales and branding managers, strategy managers.

    Who are the trainers?

    The trainers of Data Science are the industry's leading experts who got 15+ years of experience working with multinational companies. The trainers are the backbone of Data Science training. Our curriculum assists the aspirant who has taken data science training in hyderabad should be able to crack the interviews and be innovative in solving the real-time challenges faced by companies using data science technologies.

    Do you provide materials and assignments?

    Yes! We provide various handouts of data science course for each and every module that is taught in the class. And also we give practical assignments where students are monitored by the mentors during the training sessions.

    How are we different from other institutes?

    We are identified as the “Best Training Institute in Hyderabad.” by  Times of India in the category of  "times education icons."  We conduct Mock Interview Sessions and various types of data science assignments to face real-time challenges in an effortless manner. We always strive hard to make every Data Science trainee Happy, happiness  comes when you give first the best industry curriculum, second the best trainers, third the best hands on training, 4th the best start of art training facility where students can think beyond the box.

    What packages does a Data Science student get?

    As per the research that has been conducted by Digital Nest team in Hyderabad and various cities across India and also as per our previous students who got placed in data science department we would say that on an average freshers would get between 3.2 L.P.A to 6 L.P.A and experienced data science people can get up to 20 Lakhs per annum.

    How is the demand for Data Science course?

    There is a huge demand for Data Science, as we can see entire world is revolving around the data and automations. To cut down the cost and to give precise and accurate information to the customers and also to solve the challenges that are faced by any individual or company are solved by Data Science professionals. That’s where now every organization is looking forward to hire Data Science experts.

    What are the timings of Data Science course?

    Weekends : 10 am to 2pm ( Saturday & Sunday ) | Weekdays 7am | 11 am | 7pm ( Mon- Fri )

    Do you provide placements?

    Yes! We provide Assured Placement Assistance. We have a dedicated Placement officer at Digital Nest, who job is to make sure that students are getting placements alerts and also we also call companies to our academy to hire our Data Science trainees.

    Do you teach on Real time Projects?

    Yes! We Do our faculty are experts who are working in MNC’s So they get their Projects showcased in the class and we also give handouts and exercises so that Digital Nest students who got trained in Data Science are capable of solving the interview questions and also who can contribute the innovative concepts of the Data Science industry.

    What is the duration of the Course?

    Typically the duration of Data Science training would last for 4 months. We have designed a curriculum which is very comprehensive in Hyderabad. This data science training plan will offer you the main tools and ideas in the data scientist's toolbox & Students will be equipped with data science skills to become successful data science analysts and data scientists. Our data science course in Hyderabad aims to contribute insight into the part played by a Data Scientist and interpret Issues using R, Hadoop, and Machine Learning.

    How many hours each class consists?

    Weekend batches at Digital Nest in Hyderabad would last 4 hours with series of breaks in between and weekdays class would last for 2 hrs.

    Where are we located?

    Digital Nest has one of the top state of the art training centers in the prime locations in Hyderabad at Panjagutta which is 1 km away from Ameerpet and also one at Hitech City in Silicon Valley area of Hyderabad.

    Data Science Course Reviews

    (4.6/5 based on 288 reviews) | Read reviews

    Akhilesh Kumar

    Big Data Analyst

    Being a tech-savvy person, I always wanted to learn Big data and excel in the Data Science career. Data Science training in Digital Nest catalyzed my enthusiasm for learning and become data Scientists. They train you from scratch in training with the necessary concepts. They also give training on how to face interviews along with placement assistance



    I am a 2017 pass out of I went to many courses, but then I could not get a job, then one of my friends suggested joining a data science course as there are huge openings. Then I searched and found Digital Nest in Hyderabad. This is one of the best Data Science institute in Hyderabad for learning Data Science Course

    Diana Ch

    Data Analyst
    The feeling I got after attending a Data Science training demo can’t be expressed in words. I’m working as a regular Data Analyst, and the support Digital Nest & their data science training gave me the impeccable in-depth knowledge that made me grow in my career and excel. I would recommend anyone Digital Nest in Hyderabad who is looking out for Data Science Training.


    Data Analyst

    Though I opted for an e-learning course, I never failed to ask doubts and participate in the assignments. The digital nest is a great platform, even for e-learners, self-learners, and slow learners like me. Data Science training in Digital Nest is the only platform for what I’m now. The practice & experts, and the ambiance with motivated people will make you feel you that what you paid is worth.


    Big Data Analyst

    Digital Nest is a great place for learning the complete spectrum of Big Data and data Science courses, as I was being busy all the day their e-learning portal helped me in learning the courses without any hassles and their approach towards learning is spellbound. You will definitely gain practical knowledge and the awesome thing is they give provide the placement assistance also after the completion of course.


    Testing Engineer

    I am a testing engineer. I came across an article in newspaper that data science and Data Science courses are in demand. Then I started searching in Google and I found Digital Nest. I was impressed by the demo session and I came to know various careers options. Then I thought to taking this course and I am really satisfied and I would recommend as its one of the Best Data science training institute in Hyderabad


    Software Analyst

    Digital Nest is one of the best institutes in Hyderabad. I kept searching many institutes, and then I found Digital Nest, I approached and attended data science training demo, and then I realized that this is one of the best training institutes that I should choose. That's where I began learning Data Science training at the Hitech city branch of Hyderabad. I must say that I'm very much satisfied with the trainers and curriculum. Thank you so much to the team. I recommend anyone who wishes to pursue their career as a Data Science expert then now. Your destination could be Digital Nest.


    IIT - Kharagpur

    I am happy to join the Data Science training at Digital Nest institute. I had opted for Data Science training at the Hitech city branch. I hail from Ameerpet, I searched many institutes in Ameerpet at Hyderabad, but this institute impressed me. Choosing Digital Nest Main reason is their trainers and curriculum; that's where I decided to travel from Ameerpet to Hitech city to pursue a Data Science course. But today I would say I made the right choice in choosing the right institute.
    Our Trainees Hail From !!

    Students from ceading Colleges in India & Working Professionals from MNC's

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    Let’s Start with A Free Demo Session. Call us on 8088998664