fbpx

Data Science Training in Hyderabad

 

Online Training | Classroom | Virtual Classes

  • Data Science Course in Hyderabad with 100% placement assistance
  • Data Analyse Career Guidance
  • Data Science Course in Hyderabad from Real time expert trainers
  • Indutry oriented training with corporate casestudies
  • Free Aptitude classes & Mock interviews

About Data Science Course in Hyderabad

Data Science Course in Hyderabad designed for students and professionals who want to build their career as a Data Analyst or Data Scientist. Data Science is one of the trending course in the present day. There a massive demand for Data Analyst or Data Scientist. Every company may be a start-up or Mnc’s looking for a Data Analyzer.

Data Analyst must be flexible with Coding in Python or R-language. Statistical and mathematical problem solver with data analyzing skills will be an added advantage.

Data Science Course in Hyderabad Curriculum

What is Artificial Intelligence…?

Machine Learning and its Benefits

Lesson 1 – Python Basics
Lesson 2 – Python Data Structures
Lesson 3 – Python Programming Fundamentals
Lesson 4 – Working with Data in Python
Lesson 5 – Working with NumPy Arrays

Data Science Course with Python
Key Learning Objectives of Data Science Course in Hyderabad

  • Gain an in-depth understanding of Data Science processes, data wrangling, data exploration, data visualization, hypothesis building, and testing.
  • Install the required Python environment and other auxiliary tools and libraries.
  • Understand the essential concepts of Python programming such as data types, tuples, lists, dicts, basic operators and functions.
  • Perform high-level mathematical computing using the NumPy package and its vast library of mathematical functions.
  • Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO, and Weave.
  • Perform data analysis and manipulation using data structures and tools provided in the Pandas package.
  • Gain expertise in Machine Learning using the Scikit-Learn package.
  • Gain an in-depth understanding of supervised learning and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN, and pipeline.
  • Use the Scikit-Learn package for natural language processing.
  • Use the matplotlib library of Python for data visualization.
  • Extract useful data from websites by performing web scraping using Python.

Data Science Course curriculum

Lesson 1 – Data Science Overview.
Lesson 2 – Data Analytics Overview.
Lesson 3 – Statistical Analysis and Business Applications.
Lesson 4 – Python Environment Setup and Essentials.
Lesson 5 – Mathematical Computing with Python (NumPy).
Lesson 6 – Scientific Computing with Python (Scipy).
Lesson 7 –Data Manipulation with Pandas.
Lesson 8 – Machine Learning with Scikit–Learn.
Lesson 9 – Natural Language Processing with Scikit Learn.
Lesson 10 – Data Visualization in Python using Matplotlib.
Lesson 11 – Web Scraping with BeautifulSoup.

  • What is Deep Learning?
  • What is Data?
  • Data Preprocessing and its implementations.
  • Exploratory Data Analysis.
  • Feature Engineering and Extraction.
  • Data Wrangling.
  • Data Manipulation.
  • Data Visualization.
  • Statistics.
  • Linear Algebra.
  • Calculus

Data Science Course in Hyderabad- Machine Learning

    • Supervised Problems
    • Unsupervised Problems
    • Semi-Supervised Problem
    • Supervised Algorithms
    • Linear Regression
      • Correlation Analysis
      • Principles of Regression
      • Introduction to Simple Linear Regression
      • Python Flask
        • Introduction to Python Flask (deployment)
      • Multiple Linear Regression

Description: Learn about Linear Regression, components of Linear Regression viz regression line, Linear Regression calculator, Linear Regression equation. Get introduced to Linear Regression analysis, Multiple Linear Regression and Linear Regression examples.

Topics

      • Scatter diagram
        • Correlation Analysis
        • Correlation coefficient
      • Ordinary least squares
      • Principles of regression
      • Splitting the data into training, validation and testing datasets
      • Understanding Overfitting (Variance) vs Underfitting (Bias)
      • Generalization error and Regularization techniques
      • Introduction to Simple Linear Regression
      • Heteroscedasticity / Equal Variance

Description: Learn about Linear Regression, components of Linear Regression viz regression line, Linear Regression calculator, Linear Regression equation. Get introduced to Linear Regression analysis, Multiple Linear Regression and Linear Regression examples.

Topics

    • LINE Assumption
      • Collinearity (Variance Inflation Factor)
      • Linearity
      • Normality
    • Multiple Linear Regression
    • Model Quality metrics
    • Deletion diagnostics
    • Logistic Regression

Description: Learn to analyze Attribute Data, understand the principles of Logistic Regression, Logit Model. Learn about Regression Statistics and Logistic Regression Analysis.

Topics

      • Principles of Logistic Regression
      • Types of Logistic Regression
      • Assumption and Steps in Logistic Regression
      • Analysis of Simple Logistic Regression result

Description: Learn about the Multiple Logistic Regression and understand the Regression Analysis, Probability measures, and its interpretation. Know what is a confusion matrix and its elements. Get introduced to the “Cut off value” estimation using the ROC curve. Work with a gain chart and lift chart.

Topics

    • Multiple Logistic Regression
    • Confusion matrix
      • False Positive, False Negative
      • True Positive, True Negative
      • Sensitivity, Recall, Specificity, F1
    • Receiver operating characteristics curve (ROC curve)
    • Lift charts and Gain charts
    • Decision Trees and Random Forest:

Description: Decision Tree and Random Forest are one of the most powerful classifier algorithms today. Under this tutorial, learn about Decision Tree Analysis, Decision Tree examples, and Random Forest algorithms.

Topics

    • Elements of Classification Tree – Root node, Child Node, Leaf Node, etc.
    • Greedy algorithm
    • Measure of Entropy
    • Attribute selection using Information Gain
    • Ensemble techniques
    • Decision Tree C5.0 and understanding various arguments
    • Random Forest and understanding various arguments
  • Support Vector Machine
  • Naïve Bayes
  • Bagging and Boosting Algorithms
  • Unsupervised Algorithms
  • Clustering
  • K-Means Clustering
  • Prototype based Clustering
  • DBSCAN
  • RDBSCAN
  • Association
  • Apriori Algorithm

Data Science Course in Hyderabad – Deep Learning

  • Neural Network its intuition and implementation
  • Single Layer Perceptron intuition
  • Multi-Layer Perceptron intuition and differences
  • Knowledge on ANN
  • Knowledge on CNN and its Implementation
  • RNN Intuition
  • LSTM Intuition
  • GRU Intuition
  • Knowledge on GANS
  • Knowledge on SAIMESE Net
  • Working with Keras
  • Knowledge of how TensorFlow works.

Data Science Course in Hyderabad- Natural Language Processing:

  • Text reading in PYTHON
  • Text preprocessing and its techniques
  • Text Mining with Python
  • Text Extraction uring NLTK
  • Text Summarization
    • Extractive summarization
    • Abstractive summarization
  • Sentiment Analysis
  • Spacy
  • Regular Expressions
  • Feature representations like Bag of Words, TF-IDF, Word2Vec.
  • Knowledge on Glove(Global Vectors)
  • Stop-words
  • N-Grams
  • Word-Net
  • Grammarly-Bot
  • Text Classification

Data Science Course in Hyderabad- Computer Vision:

  • Image preprocessing
  • Image segmentation
  • Binarize Images
  • Blurring Images
  • Cropping Images
  • Detect Edges
  • Enhance Contrast of Color Image
  • Enhance Contrast of Greyscale Image
  • Harris Corner Detector
  • Installing OpenCV
  • Isolate Colors
  • Load Images
  • Remove Backgrounds
  • Save Images
  • Sharpen Images
  • Shi-Tomasi Corner Detector
  • Using Mean Color as A Feature

Data Science Course in Hyderabad Projects:

  • Santander Bank Customer Satisfaction
  • Digit Recognition
  • Author Identification
  • Cancer Detection

Learn with Mind Q, Kick start your corporate career.

Data Science Course in Hyderabad Highlights

  • Building Credibility to your profile
  • 100% Assistance on job placement
  • High-quality training from instructors
  • Course completion certificate
  • Data Analysis test cases for practical application
  • Course material for all the concepts
  • All fundamental basics of Data Science
  • Increasing Marketability with the training program

Data Science Course in Hyderabad Certificate

Who Should Learn Data Science Course in Hyderabad?

This course will be beneficial for those that are existing 

  • Data Analysts
  • Data Scientist
  • Data Science Engineers
  • Data Analyser
  • Interested in Coding & Algorithms
  • Good Statistics Analyser
  • Great Problem Solver
  • Python & R Language Coding Skills
Visit our Youtube channel Mind ‘Q’ Systems

Data Science Course in Hyderabad FAQ


What are the prerequisites of this Data Science Course in Hyderabad?

Anyone can take up Data Science course training, there are no such complicated prerequisites for this course.

Can we attend for demo classes for Data Science Course in Hyderabad?

Yes, demo classes will be provided for all the courses at mind Q Systems that will help in deciding to take up the course.

What about the Modes of Training for Data Science course?

Classroom training is provided and also online training provided for this course depending on your convenience.

Will you provide 100% assurance for the job after completion of the course or training program?

We will provide 100% assistance but not assurance as we will provide the complete knowledge on the concepts of the course with live projects and real-time examples. It will help in getting placed easily after the course completion.

Will you provide data science course materials for students during training?

Yes, we will share a soft copy of the Data Science course material with students.

Data Science Course in Hyderabad Training Fearures

We offer a wide range of high quality of teaching and extra-curricular activities.

Instructor-Led Training Sessions

Advanced ILT Session for each modules by expert trainers with live examples

Expert Trainers

We Constantly evaluate our trainers and only the “Best” Provides the Training.

Flexible Schedule

Flexible class timing for all courses

Industry Specific Scenarios

Students are provided with all the Real time and Relevent Scenerio

e-Learning Sessions

Online training sessions are held Live and we provide students with the Training Videos.

24/7 Support

No Problem at all !!! Your Question will be answered by Us at any Hour of the time.

Here’s what our Students have been saying about us

We offer a wide range of high quality of teaching and extra-curricular activities.

Mind Q provides quality training for Data Science Course in Hyderabad. Trainer had a good knowledge on Data Science which includes python, Deep learning, Machine Learning & AI.
Anvesitha

Took Data Science online Training in Mind Q. Trainer provides vast knowledge on individual topics with real-time examples. I refer to Mind Q for a Data Science Course.
Karthika

Myself enrolled with Mind Q for Data Science course in Hyderabad after visiting multiple institutes. Mind Q is the only institute which provides quality training at an affordable price.
Subrath Panda

Mind Q is one of the places for learning Data Science Course in Hyderabad. It provides a friendly environment with a quality trainer. Thanks, Mind Q for helping me to start my career.
Rathnakar

Mind Q provides training on software courses. It also provides a Data Science course in Hyderabad with a quality Training & Friendly environment to learn.
Muntu

For Data Science online Training Mind Q is one of the best places. They provide quality training at an affordable cost. Thanks, Mind Q for helping me to start my career in Data Science.
Kaniska

Pin It on Pinterest

Share This