Data Science Training

1
Data Science Training -
Brochure
2
Why take up
Data Science Training?
Today, Data science is one of the fastest-growing
fields in the job market. Organizations across
industries are actively seeking professionals
with Data Science skills to derive insights from
vast amounts of data and make data-driven
decisions. Whether its predicting customer
behaviour, optimizing business processes, or
developing machine learning models, Data Science
empowers you to solve real-world problems. Data
scientists are in high demand and often command
attractive salaries in the US in the range of USD
79,000 to USD 130,000 per annum. And with the
right training and experience, you can unlock
various career opportunities and enjoy
competitive compensation.
3
Who can take up
DATA SCIENTIST TRAINING?
Job roles that can find Data Scientist training
beneficial are
Students Engineering Freshers Data
Analysts Machine Learning Engineers Data
Engineers
Business Analysts Research Scientists
Statisticians IT Professionals Aspiring Data
Scientists
Anybody who is interested in learning what it
entails to become a Data Scientist. Even if one
is from a Non-IT background looking to shift
their domain can be part of this Data Scientist
training program.
4
Why Take up
DATA SCIENTIST TRAINING FROM SPOCLEARN?
4-Month interactive instructor-led Data Scientist
training
100 Money-Back Guarantee
Expert Data Science trainers across the
globe Data Science course material prepared by
SMEs Case Studies with real-world
examples Projects with hands-on experience 100
Placement Assistance for Students
5
DATA SCIENTIST
Training Agenda
6
1
WEEK 1-2 INTRODUCTION TO DATA SCIENCE AND PYTHON

• Basic Python for Data Science
• Understanding the Data Science Lifecycle
• Project Simple data analysis using Python

7
2 WEEK 3-4 STATISTICS AND PROBABILITY

• Descriptive and Inferential Statistics
• Probability Distributions
• Hypothesis Testing
• Project Real-world statistical analysis

8
3
WEEK 5-6 DATA WRANGLING VISUALIZATION

• Numpy, Pandas for Data Wrangling
• Matplotlib, Seaborn for Data Visualization
• Project Data Cleaning and Visualization of a
  complex datases

9
4 WEEK 7-10 INTRODUCTION TO MACHINE LEARNING

• Supervised Learning
• Unsupervised Learning
• Reinforcement Learning
• Project Developing and evaluating a predictive
  model

10
5 WEEK 11-13 DEEP LEARNING

• Neural Networks
• Convolutional Neural Networks (CNNs)
• Recurrent Neural Networks (RNNs)
• Project Image Recognition or Text Generation

11
6
WEEK 14-16 BIG DATA AND NOSQL DATABASES

• Introduction to Big Data
• NoSQL Databases (like MongoDB)
• Project Handling and analyzing Big Data

12
7
WEEK 17-20 ADVANCED TOPICS AND CASE STUDIES

• Natural Language Processing (NLP)
• Time Series Analysis
• Reinforcement Learning
• Advanced Projects covering above topics

13
8
WEEK 21-24 CAREER PREP AND CAPSTONE PROJECT

• Resume and Portfolio Building
• Interview Preparation
• Capstone Project A comprehensive project
  encapsulating all learnings

14
LEARNING ROADMAP FOR YOU
Understand the learning objectives that fits
your learning need
Contact our coach and consultants and
understand in depth
Block your seat
2
4
6
1
3
5
Relate to how it can help you
Talk to the trainer for more clarity
Continuously learn and apply the learning
15
Connect with us now!
You can also email us at info_at_spoclearn.com
support_at_spoclearn.com
Talk to our consultant USA 1 (832) 924
0564 IND 91 83417-05065 UK 44 807 164 0572