Overview Of Data Science Course Exploring the EduXfactor Data Science Training program, you will learn components of the Data Science lifecycle such as Big Data, Hadoop, Machine Learning, Deep Learning & R programming. Our professional experts will teach you how to adopt a blend of mathematics, statistics, business acumen, tools, algorithms & machine learning techniques. You will learn how to handle a large amount of data information & process it according to any firm business strategy.

1. DATA SCIENCE
TRAINING
HTTPS://EDUXFACTOR.COM/DATASCIENCE-ONLINE-TRAINING

2. OVERVIEW OF DATA SCIENCE COURSE
Exploring the EduXfactor Data Science Training program, you will learn
components of the Data Science lifecycle such as Big Data, Hadoop, Machine
Learning, Deep Learning & R programming. Our professional experts will teach you
how to adopt a blend of mathematics, statistics, business acumen, tools, algorithms
& machine learning techniques. You will learn how to handle a large amount of data
information & process it according to any firm business strategy.

3. NECESSARY REQUIRED SKILLS
• 1. Intro To Data & Data Science
• We live in a data-driven world & studies evaluate that the data gets generated continuously across the
globe. With the increasing demand, analyzing the data and its principles help you advance in your
career in data science. Data science aid firms to find patterns in massive volumes of organized &
unstructured massive data. As a result, businesses may enhance efficiency, control expenses,
uncover new market possibilities, and strengthen their competitive edge.
• You will learn: Our Data Science training will help you gain an in-depth understanding of Big Data,
Business Intelligence, Business Analytics, Machine Learning & Artificial Intelligence concepts. Our
instructors will give you a comprehensive knowledge of these concepts & help you fit in the domain.

4. • 2. Mathematics
• Before you delve into any specific techniques, it is crucial to have a solid foundation in calculus &
linear algebra, which will allow you to understand and use the fundamental mathematics concepts of
the field.
• You will learn:Our Data Science course will show you how to use derivatives, integrals & matrices to
solve problems related to data science.
• 3. Statistics
• Statistics trains your mind to frame problems as hypotheses & gives you techniques to test these
hypotheses, just like a scientist.
• You will learn:Our data science training prepares you to think like an expert by utilizing various
statistical techniques alongside improving your skills. You not only acquire the skills you need, but you
also learn how to apply them in this domain.

5. • 4. Python
• Python is a relatively new programming language & unlike R, it is a general-purpose programming
language. Web applications, computer games & data science are many of its capabilities. Extreme
libraries enable data manipulation, transformation & visualization. Also, Python deals with machine
learning & deep learning.
• You will learn: Trainees will learn powerful frameworks such as sci-kit-learn, TensorFlow & more,
which they will use to develop, implement, and deploy machine learning models.
• 5. Advanced Statistics
• Statistical methods such as regressions, clustering & factor analysis can be performed through
machine learning to produce predictions with unparalleled accuracy. This section will go through these
strategies in depth.
• You will learn: Predictive modeling is a crucial component of data science & you can hone your skills
with advanced statistics. Our curriculum allows trainees to integrate data into projects using these
concepts.

6. • 6. Machine Learning
• The final part of the program will focus on deep learning, the most recent
advancement in machine-learning technology.
• You will learn: Through Machine Learning, learn how to use deep learning with
TensorFlow to take your data analysis to the next level.

7. KNOW DIFFERENT ASPECTS
• Our data science training course offers advanced modules to become a professional data scientist.
• Fill your portfolio with in-demand data science abilities such as statistical analysis, Python programming with NumPy,
pandas, matplotlib, Seaborn & data visualization.
• Demonstrate your knowledge in the data science domain to impress various interviewers.
• Learn how to pre-process data
• Understand the mathematics behind machine learning.
• Start coding in Python & learn how to use it for statistical analysis.
• Perform linear & logistic regressions in Python.
• Carry out the cluster & factor analysis
• Be able to create machine learning algorithms in Python using NumPy, stats models & sci-kit-learn.

8. OUR TRAINING METHODOLOGY
• EduXfactor offers Data Science training that helps individuals master the skills & competencies associated with this
career. The following are the unique features covered in this course.
• Demo Training
• Virtual Training & Offline Training
• Flexible Batches
• Professional Curriculum
• Internship on Real-Time Projects
• Industry Expert Faculties
• 100% Job Oriented Training
• Course Completion

9. DURATION OF OUR TRAINING
• Virtual/ Offline Training
• - EduXfactor offers offline/virtual training based on trainee requirements with a
personalized curriculum, as our training duration is for (45 – 50) days. Our
professional expert training helps you reach your career & enhance your skill on your
particular course.
• Internships & Training
• - EduXfactor offers data science training & internships to working professionals,
aspirants under the guidance of professional experts. The program lasts for three to
four months. Individuals might opt to work full-time or part-time from home or an in-
house office. We offer the training program to individuals who want to sharpen their
skills.

10. THANK YOU
• Dwaraka One, Ground Floor,
Plot no. 6 & 7, Survey no. 85
Madhapur Near Raheja Mindspace,
Hyderabad, Telangana 500081,India.
• (+91) 40-4020-2376
• info@eduxfactor.com