ONLY COMPANY DRIVEN INSTITUTE IN HYDERABAD OFFERING CORPORATE TRAINING IN DATA SCIENCE WITH ARTIFICIAL INTELLIGENCE AND TRAINING INTERNATIONAL STUDENTS

DATA SCIENCE COURSE IN HYDERABAD

Data science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract insights from data. Companies are investing lot of money on managing and analysing the data. So, Avail the best data science course in Hyderabad at our training institute. Also, become a certified data scientist under the guidance of esteemed trainer with 22+ years real-time IT experience.

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TOP RATED INSTITUTE IN INDIA FOR DATA SCIENCE AND BLOCKCHAIN. SPECIAL THANKS TO ALL OUR TRAINEES AND TRAINERS !!!

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ADITI offers 120 days (4 Months) Data Science training with Python from basic level to advanced level. Followed by DJANGO Framework, Machine Learning AI and Applied Statistics with real-time projects.
BATCHES
WEEKDAYS - 3 MONTHS (MON- FRI)

NO SEATS AVAILABLE FOR 21ST JAN 2020 BATCH

WEEKDAYS - 3 MONTHS (MON- FRI)

NO SEATS AVAILABLE FOR 20TH FEB 2020 BATCH

WEEKENDS - 12 WEEKS (SAT & SUN)

NO SEATS AVAILABLE FOR 22ND FEB 2020 BATCH

WEEKDAYS - 3 MONTHS (MON- FRI)

ALL OFFLINE BATCHES POSTPONED TO JULY FIRST WEEK DUE TO THE OUTBREAK OF COVID-19. 

Only 10 students per batch are allowed. We prefer first come first serve. No further requests are entertained. FIRST COME FIRST SERVE IS OUR MOTTO.
Are you listening to the classes by having 50+ students around ??? We believe you are not in cinemas. Our Classroom Training from Corporate Trainers with only 10 students per batch makes you feel smart. So, join the best data science course in hyderabad to enhance your IT career.

EDUCATIONAL LOAN PARTNER

 

Don’t let your financial barriers stop your career growth. Our loan partner GYANDHAN offers financial support to students with an option to pay the course fee in flexible EMI’s.

REGISTRATION PROCESS AND FAQ

Candidates can avail educational loan from Gyandhan, if he/she is eligible. Students have the flexibility to pay the course fee in EMI’s. To check your eligibility feel free to call or whatsapp + 91 836-748-7105.

Candidates can pay the course fee in two instalments. Initially, half of the course fee  (INR 20K) should be paid to reserve your seat against bank a/c details furnished below. Instant invoice will be shared across your email id. Balance amount can be cleared within 15 days after commencing the classes. Candidates can visit our office in person to pay cash or transfer online at

AC Name: ADITI DIGITAL SOLUTIONS

Bank Name : KOTAK MAHINDRA,  VASANTHNAGAR, HYDERABAD

AC NO : 7312951211
CRN NO : 373222194
IFSC CODE : KKBK0000560

Call : +91 836 748 7105 before paying online

Basic graduation is fine to learn Data Science. Since most of our trainees are from Non-IT backgrounds like BTech Mechanical, etc., we will teach data science from basics. We assure one-on-one mentorship with the trainer as our intake is only 10 students per batch.

Yes. We do provide LOR for all countries, with which candidates can apply at Indian Embassy in their respective countries to avail student visa. Call or Whatsapp +91 836 748 7105 for more details.

We will make you attend for interviews post completion of 3 months training. More than that no one can do anything. Don’t believe in fake promises. It completely depends on candidates performance in interview. Don’t fall in trap like job guaranteed programmes by paying huge money.

Yes! We do conduct weekend batches especially for working professionals. Call +91 836 748 7105 for more details.

We don’t offer python programming language alone. We offer complete Data Science Package with Python skills ( Beginner to Advanced Level with DJANGO Framework) and Machine Learning. We suggest, don’t learn programming languages alone. Learn languages with applications. Data Science is one of the applications using Python Programming. No company will hire just with the knowledge of programming languages.

OUR ADVANCED COURSE CURRICULUM

INTRODUCTION TO DATA SCIENCE

The Data Science Overview, Data Science – Why all the excitement? Demand for
Data Science Professionals, Brief Introduction to Big data and Data Analytics, Life
cycle of data science, what does Data scientist Do. Tools and Technologies used in data Science.

STATISTICS

Mean, Median, Mode, Variance, Standard deviation, Probability, Permutations, Combinations, Bayes theorem, Null Hypothesis, Central Limit Theorem. Quartile, Interquartile, Measure of central tendency, correlation, causality, Sample, Population, Covariance, Pearson correlation, Random variables, Hypothesis, Types of Hypothesis, Significance value, Types of tests based on features of random variables, Chi square tests and ANOVA 

PYTHON FOR DATA SCIENCE AND MACHINE LEARNING

PYTHON PROGRAMMING BASICS – Installing Jupyter Notebooks, Python Overview, Python 3 Overview, Python Identifiers, Various Operators and Operators Precedence, Getting input from User, Comments and Multi line Comments.

MAKING DECISIONS AND LOOP CONTROL – Simple if Statement, if-else Statement, if-else-if Statement, Introduction to while Loops, Introduction to For Loops, Using continue and break. 

DATA TYPES: LIST, TUPLES AND DICTIONARIES – Python Lists, Tuples, Dictionaries, Accessing Values, Basic Operations, Indexing, Slicing, and Matrices, Built-in Functions & Methods, Exercises on List, Tuples and Dictionary.

FUNCTIONS AND MODULES – Functions, Why Defining Functions? Calling Functions with Multiple Arguments, Anonymous Functions – Lambda Using Built-In Modules, User-Defined Modules, Module Namespaces, Iterators and Generators

FILE I/O AND EXCEPTIONAL HANDLING – Opening and Closing Files, Open Function, File Object Attributes, Close Method, Read, Write. Exception Handling, the try-finally Clause, Raising an Exceptions, User-Defined Exceptions Regular Expression- Search and Replace, Regular Expression Modifiers, Regular Expression Patterns and Re module

NUMPY – Array Creation, Printing Arrays, Basic Operations- Indexing, Slicing and Iterating Shape Manipulation – Changing shape, stacking and splitting of array Vector stacking

 

PANDAS – Importing data into Python, Pandas Data Frames, Indexing Data Frames, Basic Operations with Data frame, Renaming Columns, Subletting and Filtering a data frame.

MATPLOTLIB –Plot, Controlling Line Properties, Working with Multiple Figures and Histograms.

MySQL FOR DATA SCIENCE

Introduction to SQL, Retrieving Data, Updating Data, Inserting Data, Deleting Data, Sorting and Filtering Data, Create connection to the data base using python, Creating a data base, Check if data base exists, Creating a table, Check if table exists and Select records from the table with python

MACHINE LEARNING

INTRODUCTION TO MACHINE LEARNING – Machine Learning? What is the Challenge? Supervised Learning and Unsupervised Learning

SUPERVISED LEARNING

LINEAR REGRESSION – Linear Regression with Multiple Variables, Disadvantage of Linear Models, Interpretation of Model Outputs, Understanding Covariance and Co linearity, Case study on Application of Linear Regression for housing price prediction.

LOGISTIC REGRESSION – Why Logistic Regression, Classification Cost function for logistic regression, Application of logistic regression to multi-class classification, Confusion Matrix, Odd’s Ratio and ROC Curve, Advantages and Disadvantages of Logistic Regression, Case study on to classify an email as spam or not spam using logistic Regression.

DECISION TREES  – Decision Tree, data set, how to build decision tree? Understanding Kart Model, Classification Rules- Over fitting Problem, Stopping Criteria and Pruning, how to find final size of Trees? Model a decision Tree.

RANDOM FOREST– Random Forest, data set, how to build Random Forest? Ensemble Techniques – Boosting, Bagging, Gradient Boost, XG Boost, Classification Rules, Regression Rules.

SUPPORT VECTOR MACHINE – Support Vector Machine, data set, how to build Support Vector Machine? Support Vectors, Marginal Planes and Distance, Parameter Tuning, Classification Rules, Regression Rules.

K NEAREST NEIGHBOURS – K Nearest Neighbors, data set, how to build K Nearest Neighbors? Data Set, Nearest Neighbors, Distance Between Two Points, Euclidian Distance and Manhattan Distance Methods, Choosing the Best K Value Classification Rules, Regression Rules.

NAÏVE BAYES– Naïve Bayes, data set, how to build Naïve Bayes? Data Set, Types of Events, Conditional Probability, Bayes Theorem Classification Rules. Practical Example of Bayes Theorem.

UNSUPERVISED LEARNING

Hierarchical Clustering, k-Means algorithm, Principal Component Analysis (PCA), Apriori Algorith and DBSCAN Clustering.

DEEP LEARNING

Neural Network, Understanding Neural Network Model, ANN, CNN, RNN, Understanding Tuning of Neural Network, Case study using Neural Network.

NATURAL LANGUAGE PROCESSING (NLP)

Intro to Natural Language Processing (NLP), NLP Sentiment Analysis, Case Study on Twitter data analysis using NLP.

DJANGO FRAME WORK
2 LIVE PROJECTS

Define Problem Statement, Gather requirements from various sources, Data Pre-Processing, Choosing the right ML algorithm by considering it’s accuracy and Note the best performed algorithms.

3 MONTHS INTERNSHIP (OPTIONAL)

LIBRARIES

WHY JOIN ADITI ???
  • Only 10 students per batch are allowed.
  • Agency Driven Training with 100% placement assistance.
  • Advanced Course Curriculum as per MNC requirements.
  • Best faculty with Excellent Lab Infrastructure.
  • Prepare your CV/Resume to attend Interviews and securing a Job.
  • One-to-one Attention by Instructors.
  • Classes with 30% theory and 70% hands-on.
  • Successfully executed 30+ projects in just 3 months.
  • Internship available.
WHO ARE ELIGIBLE ???

All Graduates, Post Graduates, IT Professionals, Business owners, Engineers, Technologists
and anyone who are really serious about their career

EXCLUSIVE MATERIALS
CLIENTS SERVED SO FAR IN INDIA AND ABROAD

 

 

 

For PYTHON / DATA SCIENCE / ARTIFICIAL INTELLIGENCE / MACHINE LEARNING / BLOCKCHAIN / DIGITAL MARKETING CORPORATE TRAINING IN YOUR ORGANISATION, send requirements to admin@aditidigitalsolutions.com

data science course in hyderabad
ADVICE TO THE STUDENTS

Aditi Digital Solutions, training institute cum organisation is located only at KPHB Colony, Hyderabad.

Batch formation completely depends on first come first serve basis.

Only 10 students per batch are allowed. No further requests are entertained.

Beware of fraudsters with the name of ADITI offering discounts and advertisements.

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