Embark on a transformative journey into the world of data science with Tsofttech Institution's comprehensive Data Science Excellence program. In today's data-driven world, harnessing the power of data is essential for making informed decisions and driving innovation.
Course Highlights:
Practical Learning: Our hands-on approach allows you to gain practical experience by working on real-world data science projects. You'll learn to extract insights, analyze trends, and make data-driven decisions.
Cutting-Edge Curriculum: Stay at the forefront of data science with a curriculum that covers the latest tools and techniques, including data analysis, machine learning, data visualization, and more.
Expert Instructors: Learn from seasoned data scientists and industry experts who will guide you through the intricacies of data analysis and modeling, providing valuable insights and mentorship.
Personalized Learning: Our flexible course modules cater to learners of all levels, whether you're a beginner or an experienced professional. We tailor your learning experience to meet your specific needs and goals.
Certification: Receive a prestigious certification upon completing the program, validating your data science skills and boosting your career prospects.
Key Topics Covered:
Data Cleaning and Preprocessing
Exploratory Data Analysis
Machine Learning Algorithms
Predictive Analytics
Data Visualization
Big Data Technologies
Deep Learning
Natural Language Processing (NLP)
Business Analytics
Capstone Projects
Open the doors to a world of opportunities with a solid foundation in data science from Tsofttech Institution. Whether you aim to drive business decisions, conduct advanced research, or seek career growth, our program equips you with the skills needed to excel in this dynamic field.
Join us today and start your journey towards Data Science Excellence at Tsofttech Institution!
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Best Data Science Online Training in Hyderabad
1.
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About
Tsofttech is a IT Training Institute in India, offering vast IT
learning courses via class room training, corporate training
and online training platform. Expanding its operations across
USA, UK, Europe and Asia, Tsofttech Training has acquired
huge market in India for IT learning. Students, job seekers and
IT professionals come from various backgrounds are always
in search of short-term IT programs to get knowledge and
expand their skill-set. This has been a constant requirement
from IT sector as new software applications keep getting
added demanding IT workers to be able to work on these
new systems. To circumvent these pitfalls and to enhance
work efficiency, Tsofttech Training has chosen few popular IT
programs such as Microsoft Dynamics, SAP, Oracle, SAS,
ServiceNow and Other ERP tools and many other to offer
online IT Training via classroom, online training and
corporate training to easily attend the training program in
order to get certified and draw the benefit of skill in software.
Tsofttech Training not only invites individuals but also small
and medium corporate establishments for training their
employees
3. About Our
In today's data-driven world, organizations are constantly seeking
skilled professionals who can harness the power of data and artificial
intelligence to drive business growth and innovation. A job-oriented
program in Data Science and AI is designed to equip individuals with
the knowledge and skills required to excel in these high-demand fields.
This program focuses on practical, real-world applications, ensuring
graduates are well-prepared for the workforce.
Key Components of the Program:
Data Science Fundamentals
Machine Learning and AI
Tools and Technologies
Real-World Projects
Industry-Relevant Skills
Job Placement Assistance
A job-oriented program in Data Science and AI is an excellent choice for
individuals looking to build a successful career in high-growth, high-
impact fields. By gaining hands-on experience, industry knowledge, and
practical skills, graduates are well-positioned to meet the demands of
the data-centric job market and drive innovation in their chosen
industries.
tsofttech.com Data Science | 3
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Program Highlights
The program offers a well-rounded curriculum that covers
fundamental and advanced topics in data science and artificial
intelligence. Topics may include statistics, machine learning,
deep learning, natural language processing, computer vision,
and more.
Comprehensive Curriculum
Emphasis on practical, hands-on projects to apply the learned
concepts in real-world scenarios. Students work on industry-
relevant projects to build a portfolio of work that showcases their
skills to potential employers.
Hands-On Projects
Inviting guest speakers and industry experts to provide insights
into the latest trends and real-world applications in data science
and AI.
Guest Lectures and Industry Experts
Offering job placement assistance, including resume building,
interview preparation, and access to job listings. Establishing
connections with potential employers in the field.
Job Placement Support
Access to online learning materials, recorded lectures, and
resources to facilitate continuous learning even after completing
the program.
Online Learning Resources
5. Program Curriculum
Introduction to DataScience
Introduction to DataScience
Discussion on Course Curriculum
Introduction to Programming
Python – Basics
Data types and type conversion
Variables
Flow Control : If, Elif, Else
Data Structures, Indexing, SlicingIf,
Else&For Loop & ,While loops
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Python - Data Types & Utilities
List,ListofListsandListComprehension
Set and Tuple
DictionaryandDictionarycomprehension
FunctionsandAnonymousFunctions
Map,Reduce,Filter
Advance Python
Error / Exception Handling
File Handling
Docstrings
Debugging
Modules and packages
OOPS
Installation
SQL
Basics of DBMS
Basics of SQL
SELECT WHERE Statements
JOINS
Python Essential Packages
Numpy
Pandas
Data Visualization Library : Matplotlib,
Seaborn
Statistics Basics
Descriptive Statistics : Central
Tendency
Variance ,Standard Deviation
Covariance
Perason's and Spearman Correlation
Coefficients
Different types of Plots for
Continuous,
Different types of Distributions
Percentiles & quartiles, 5 number
summary
Statistics Advanced
Population and Sample
Sampling Distribution and Central
Limit Theorem
Standard Error
Confidence Interval
Hypothesistesting : Onetail, Twotail
and p-value
Z-test, t-test, F-test, chisquare test
Visualization using Power BI and
Tableau
Installations of Power BI and Tableau
Basics of Power BI and Tableau
Creating Visualization using Power BI
and
Introduction one, two practical
dataset
6. Program Curriculum
Exploratory Data Analysis
Missing values treatment
Outlier detection and treatment
Plotting(univariate, bi-variate)
Column Standardization
Treating Categorical Variable
Variable Creation and
Transformation
Understanding Feature Importance
conceptually
Machine Learning Fundamentals
Types of Machine Learning Methods
Classification problem in general
Different types of metrics for
Classification
Curse of dimensionality
Feature Transformations
Feature Selection
Imbalanced Dataset and its effect on
Bias Variance Tradeoff
Overfitting vs Underfitting vs Normal
fitting
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Supervised Machine Learning Part 1
Linear Regression and It's
assumptions
L1L2 Regularization
Forward and Backward selection
methods
Logistic Regression
k-Nearest Neighbor classifier
Naive Bayes classifier
Decision Tree
Support Vector Machine
Supervised Machine Learning Part 2
Ensemble : Bagging
Random Forest Regressor and
Classifier
Ensemble : Boosting
Gradient Boosting : AdaBoost
XG Boost
Gradient Descent technique
Creating your own Ensemble Classifier
Recommendation Engine
Unsupervised Learning Part
Basics of Clustering : Clustering
Metrics,
KMeans Algorithm
Density Based Clustering DBSCAN
Hierarchical Clustering :
Agglomerative
Market Basket Analysis
Unsupervisedmetrics
Principal Component Analysis
Singualr Value Decomposition
Deep Learning Part 1
Population and Sample
Sampling Distribution and Central
Limit Theorem
Standard Error
Confidence Interval
Hypothesistesting : Onetail, Twotail
and p-value
Z-test, t-test, F-test, chisquare test
Deep Learning Part 2
Regularization
Optmizers
Hyper parameter sand tuning of
the same
7. Deep Learning Part 3
Convolution alNeuralNetworks(CNN)
Project : Image Classification
Different types of CNNarchitectures
intermediate Natural Language
Processing
Count Vectorizer
Word cloud and gensim
TF-IDFVectorizer
Word 2VecandGlove
Text classification using
Word2VecandGlove
Basic Natural Language Processing
Texts, Tokens
Bag of Words
Basic text classification based on Bag
of Words
n-gram : Unigram, Bigram
Word vectorizer basics, One Hot
Encoding
Deep Learning - Part 4
RecurrentNeuralNetwork(RNN)
BackPropagationthroughtime
DifferenttypesofRNN:LSTM,GRU
BiirectionalRNN
Seq2Seqmodel(EncoderDecoder)
BERTTransformers
Textgenerationandclassificationusin
gDeep
Generative-AI(Chat-GPT)
Time Series and Forecasting
Different Components of Time Series
Statistical Models of time series
forecasting AR
Time Series Forecasting using Stats
model library
Time Series Forecasting using Deep
Learning
Pyspark Installation and working on
basic code
Data bricks
Hadoop
Program Curriculum
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Note: All Concepts Theory with mathematics and practical with python programming
language
Career Services
Resume/Profile Building
Mock Interviews
Career Mentoring
8. Languages and Tools Covered
NLTK
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Projects
Property Price
Prediction
Vaccine Usage
Prediction
Heart Disease
Prediction
Taxi Fare
Prediction
E-commerce Customer
Segmentation
Forecasting Sales
of Furniture Products
Faculty
Miss. Gopika Purnima
Instructor
Working as a Data Scientist
IIT, Kharagpur
Experience
• Overall 4+ years of experience in IT industry / Teaching Profession.
• Working as a Data Scientist in an organization in Bangalore.
• Working as a Freelance Data Science Trainer in other institute.
• Associated as Data Science trainer at T Soft tech, Hyderabad.
Education
• B.tech - Andhra University
• M.tech - Indian Institute of Technology, Kharagpur
• Data Science and Machine Learning - IIT Guwahati
• Python Programing - IIT Kanpur