SlideShare a Scribd company logo
WHAT IS A DATA
SCIENCE COURSE
ALL ABOUT?
https://nareshit.com/courses/data-science-online-training
A Data Science course combines elements of
mathematics, statistics, computer science, and domain
knowledge to train individuals in extracting meaningful
insights from data. It equips learners with the skills and
tools necessary to manage, analyze, and interpret data
using programming languages, statistical techniques, and
machine learning.
Description: 2
https://nareshit.com/courses/data-science-online-training
Core Components of Data Science 3
Core Disciplines :
Mathematics & Statistics: Foundational
knowledge for probability, inference, and
data modeling.
Programming Skills: Proficiency in
languages like Python, R, and SQL.
Data Wrangling & Visualization: Skills to
clean, transform, and visually present data.
Tools & Technologies :
Hands-on training with popular data
science tools: Jupyter Notebooks,
Pandas, TensorFlow, Power BI, and
Tableau.
Practical Applications :
Learning through real-world projects,
such as predicting customer behavior,
classifying images, or optimizing
business processes.
Exposure to various sectors (finance,
healthcare, tech) to understand how
data science drives businessdecisions.
https://nareshit.com/courses/data-science-online-training
Key Skills and Knowledge Areas 4
Machine Learning: Algorithms that allow computers to learn
from data. It includes supervised (e.g., regression,
classification), unsupervised (e.g., clustering), and reinforcement
learning.
Natural Language Processing (NLP): Techniques for analyzing
text data, including sentiment analysis and machine translation.
Deep Learning: Advanced machine learning using neural
networks with multiple layers.
Time Series Analysis: Methods for analyzing sequential data,
common in stock market predictions and sensor data analysis.
Predictive Analytics: Uses historical data to predict future
outcomes, such as sales forecasts or customer churn.
https://nareshit.com/courses/data-science-online-training
Tools and Technologies in Data Science 5
Machine Learning Libraries:
Scikit-learn, TensorFlow, and PyTorch provide
ready-made tools for building machine learning
models.
Statistical and Analytical Tools:
SAS, SPSS, and MATLAB.
rogramming Languages:
Python, R, and Julia are primary
languages.
Data Visualization Tools:
Tableau, Power BI, and Matplotlib
enable data professionals to create
compelling visualizations.
https://nareshit.com/courses/data-science-online-training
Key Concepts and Techniques in Data Science 6
Machine Learning: Algorithms that allow computers to learn from data. It
includes supervised (e.g., regression, classification), unsupervised (e.g.,
clustering), and reinforcement learning.
Natural Language Processing (NLP): Techniques for analyzing text data,
including sentiment analysis and machine translation.
Deep Learning: Advanced machine learning using neural networks
with multiple layers.
Key Concepts
https://nareshit.com/courses/data-science-online-training
Future Trends in Data Science 7
Automated Machine Learning (AutoML):
Automates the process of building
models, making data science more
accessible.
Edge Computing: Allows data
processing closer to the source,
improving speed.
Explainable AI (XAI): Enhances the
transparency of AI models.
Quantum Computing: Potentially solving
complex data problems at an
unprecedented speed.
https://nareshit.com/courses/data-science-online-training
Data Science is a transformative field shaping
industries and impacting every aspect of business and
society. A Data Science course empowers learners with
the skills needed to interpret and leverage data,
applying cutting-edge tools and techniques to solve
complex problems. The course provides a pathway to
high-impact careers, equipping professionals with the
ability to make data-driven decisions that can drive
success.
Summary and Conclusion 8
https://nareshit.com/courses/data-science-online-training
YOU
THANK
https://nareshit.com/courses/data-science-online-training

More Related Content

PPTX
Best Data science institue in pitampura.
PDF
Artificial intelligence engineer course
PDF
Unlock Your Future: Data Science Course in Pitampura
PDF
"Data Science: Insight & Analysis" and fundamental of data science?
PDF
What Does Certification in Data Science Include - iabac
PPTX
Data science Nagarajan and madhav.pptx
PDF
How to Become a Data Scientist in 10 Steps - CETPA Infotech
PDF
DataScience_RoadMap_2023.pdf
Best Data science institue in pitampura.
Artificial intelligence engineer course
Unlock Your Future: Data Science Course in Pitampura
"Data Science: Insight & Analysis" and fundamental of data science?
What Does Certification in Data Science Include - iabac
Data science Nagarajan and madhav.pptx
How to Become a Data Scientist in 10 Steps - CETPA Infotech
DataScience_RoadMap_2023.pdf

Similar to what is a data science course all about.pdf (20)

PDF
Top 10 Essential Skill Sets For Data Scientists.pdf
PPTX
A Comprehensive Learning Path to Become a Data Science 2021.pptx
PDF
Components of Data Science coding masters.pdf
PDF
Advanced Data Science Training & Career Titles_ Your Path to Success.pdf
DOCX
Self Study Business Approach to DS_01022022.docx
PDF
Best Data Science course in Jalandhar , punjab
PPTX
DataMites Data Science Training In Patna
PPTX
skil of data science.pptx
PPTX
Data Science Certification in Pune-January
PPTX
Data Science Bootcamp | Build Your Career in Analytics | CBitss
PPTX
Data Science Bootcamp Build Your Career in Analytics.pptx
PDF
Data Science Course in Pune
PDF
Core Skills Covered in a Data Science Course.pdf
PPTX
Data Science Certification in Pune-January
PPTX
Data Science Training in Chennai-January
PPTX
Data Science Course in Chennai-January-1
PPTX
Become a successful Data Scientist. Start Now!
PPTX
Data science in business Administration Nagarajan.pptx
PDF
Essential Skills You Need to Become a Deep Learning Expert | IABAC
PDF
Data science presentation
Top 10 Essential Skill Sets For Data Scientists.pdf
A Comprehensive Learning Path to Become a Data Science 2021.pptx
Components of Data Science coding masters.pdf
Advanced Data Science Training & Career Titles_ Your Path to Success.pdf
Self Study Business Approach to DS_01022022.docx
Best Data Science course in Jalandhar , punjab
DataMites Data Science Training In Patna
skil of data science.pptx
Data Science Certification in Pune-January
Data Science Bootcamp | Build Your Career in Analytics | CBitss
Data Science Bootcamp Build Your Career in Analytics.pptx
Data Science Course in Pune
Core Skills Covered in a Data Science Course.pdf
Data Science Certification in Pune-January
Data Science Training in Chennai-January
Data Science Course in Chennai-January-1
Become a successful Data Scientist. Start Now!
Data science in business Administration Nagarajan.pptx
Essential Skills You Need to Become a Deep Learning Expert | IABAC
Data science presentation
Ad

More from tejasrinareshit (20)

PDF
Roadmap to Mastering Agentic AI -NareshIT
PDF
Remote Work & AI The Future of Data Careers.pdf
PDF
The Rise of AI Watchdogs: Data Governance in Action
PDF
AI on the Edge Future-Proofing IoT and Smart Devices.pdf
PDF
Data for Good How AI Is Changing Lives.pdf
PDF
From Buzzwords to Impact: Real Trends in Data Science
PDF
Agriculture Meets AI Smart Farming in 2025.pdf
PDF
Future-Proof Your Career in Data Science.pdf
PDF
How AI is Powering Real-Time Data Processing and Analytics
PDF
Why Our Data Science Online Training is the Best for Beginners
PDF
What’s Trending in Data Science: Key Insights for Professionals
PPTX
The State of Data Science in 2025: Top Trends You Need to Know
PDF
best online data science course with certification for 2024.pdf
PDF
Best Data Science Course Online with Certification [2024]
PDF
The Age of AI: Evolution, Not Extinction, of Data Science .
PDF
HOW AI IS ENHANCING DATA SCIENCE IN NARESHT
PDF
what is a data science course all about.pdf
PDF
Is Data Science a Good Career In NareshIT
PDF
How to Crack a Data Science Interview as a Fresher
PDF
How to Crack a Data Science Interview as a Fresher
Roadmap to Mastering Agentic AI -NareshIT
Remote Work & AI The Future of Data Careers.pdf
The Rise of AI Watchdogs: Data Governance in Action
AI on the Edge Future-Proofing IoT and Smart Devices.pdf
Data for Good How AI Is Changing Lives.pdf
From Buzzwords to Impact: Real Trends in Data Science
Agriculture Meets AI Smart Farming in 2025.pdf
Future-Proof Your Career in Data Science.pdf
How AI is Powering Real-Time Data Processing and Analytics
Why Our Data Science Online Training is the Best for Beginners
What’s Trending in Data Science: Key Insights for Professionals
The State of Data Science in 2025: Top Trends You Need to Know
best online data science course with certification for 2024.pdf
Best Data Science Course Online with Certification [2024]
The Age of AI: Evolution, Not Extinction, of Data Science .
HOW AI IS ENHANCING DATA SCIENCE IN NARESHT
what is a data science course all about.pdf
Is Data Science a Good Career In NareshIT
How to Crack a Data Science Interview as a Fresher
How to Crack a Data Science Interview as a Fresher
Ad

Recently uploaded (20)

PDF
FourierSeries-QuestionsWithAnswers(Part-A).pdf
PDF
ANTIBIOTICS.pptx.pdf………………… xxxxxxxxxxxxx
PPTX
Presentation on HIE in infants and its manifestations
PDF
Computing-Curriculum for Schools in Ghana
PDF
Module 4: Burden of Disease Tutorial Slides S2 2025
PPTX
202450812 BayCHI UCSC-SV 20250812 v17.pptx
PPTX
GDM (1) (1).pptx small presentation for students
PPTX
Microbial diseases, their pathogenesis and prophylaxis
PPTX
Final Presentation General Medicine 03-08-2024.pptx
PDF
Complications of Minimal Access Surgery at WLH
PDF
RMMM.pdf make it easy to upload and study
PPTX
school management -TNTEU- B.Ed., Semester II Unit 1.pptx
PDF
A GUIDE TO GENETICS FOR UNDERGRADUATE MEDICAL STUDENTS
PDF
The Lost Whites of Pakistan by Jahanzaib Mughal.pdf
PDF
102 student loan defaulters named and shamed – Is someone you know on the list?
PDF
3rd Neelam Sanjeevareddy Memorial Lecture.pdf
PDF
O7-L3 Supply Chain Operations - ICLT Program
PPTX
Lesson notes of climatology university.
PPTX
human mycosis Human fungal infections are called human mycosis..pptx
PPTX
IMMUNITY IMMUNITY refers to protection against infection, and the immune syst...
FourierSeries-QuestionsWithAnswers(Part-A).pdf
ANTIBIOTICS.pptx.pdf………………… xxxxxxxxxxxxx
Presentation on HIE in infants and its manifestations
Computing-Curriculum for Schools in Ghana
Module 4: Burden of Disease Tutorial Slides S2 2025
202450812 BayCHI UCSC-SV 20250812 v17.pptx
GDM (1) (1).pptx small presentation for students
Microbial diseases, their pathogenesis and prophylaxis
Final Presentation General Medicine 03-08-2024.pptx
Complications of Minimal Access Surgery at WLH
RMMM.pdf make it easy to upload and study
school management -TNTEU- B.Ed., Semester II Unit 1.pptx
A GUIDE TO GENETICS FOR UNDERGRADUATE MEDICAL STUDENTS
The Lost Whites of Pakistan by Jahanzaib Mughal.pdf
102 student loan defaulters named and shamed – Is someone you know on the list?
3rd Neelam Sanjeevareddy Memorial Lecture.pdf
O7-L3 Supply Chain Operations - ICLT Program
Lesson notes of climatology university.
human mycosis Human fungal infections are called human mycosis..pptx
IMMUNITY IMMUNITY refers to protection against infection, and the immune syst...

what is a data science course all about.pdf

  • 1. WHAT IS A DATA SCIENCE COURSE ALL ABOUT? https://nareshit.com/courses/data-science-online-training
  • 2. A Data Science course combines elements of mathematics, statistics, computer science, and domain knowledge to train individuals in extracting meaningful insights from data. It equips learners with the skills and tools necessary to manage, analyze, and interpret data using programming languages, statistical techniques, and machine learning. Description: 2 https://nareshit.com/courses/data-science-online-training
  • 3. Core Components of Data Science 3 Core Disciplines : Mathematics & Statistics: Foundational knowledge for probability, inference, and data modeling. Programming Skills: Proficiency in languages like Python, R, and SQL. Data Wrangling & Visualization: Skills to clean, transform, and visually present data. Tools & Technologies : Hands-on training with popular data science tools: Jupyter Notebooks, Pandas, TensorFlow, Power BI, and Tableau. Practical Applications : Learning through real-world projects, such as predicting customer behavior, classifying images, or optimizing business processes. Exposure to various sectors (finance, healthcare, tech) to understand how data science drives businessdecisions. https://nareshit.com/courses/data-science-online-training
  • 4. Key Skills and Knowledge Areas 4 Machine Learning: Algorithms that allow computers to learn from data. It includes supervised (e.g., regression, classification), unsupervised (e.g., clustering), and reinforcement learning. Natural Language Processing (NLP): Techniques for analyzing text data, including sentiment analysis and machine translation. Deep Learning: Advanced machine learning using neural networks with multiple layers. Time Series Analysis: Methods for analyzing sequential data, common in stock market predictions and sensor data analysis. Predictive Analytics: Uses historical data to predict future outcomes, such as sales forecasts or customer churn. https://nareshit.com/courses/data-science-online-training
  • 5. Tools and Technologies in Data Science 5 Machine Learning Libraries: Scikit-learn, TensorFlow, and PyTorch provide ready-made tools for building machine learning models. Statistical and Analytical Tools: SAS, SPSS, and MATLAB. rogramming Languages: Python, R, and Julia are primary languages. Data Visualization Tools: Tableau, Power BI, and Matplotlib enable data professionals to create compelling visualizations. https://nareshit.com/courses/data-science-online-training
  • 6. Key Concepts and Techniques in Data Science 6 Machine Learning: Algorithms that allow computers to learn from data. It includes supervised (e.g., regression, classification), unsupervised (e.g., clustering), and reinforcement learning. Natural Language Processing (NLP): Techniques for analyzing text data, including sentiment analysis and machine translation. Deep Learning: Advanced machine learning using neural networks with multiple layers. Key Concepts https://nareshit.com/courses/data-science-online-training
  • 7. Future Trends in Data Science 7 Automated Machine Learning (AutoML): Automates the process of building models, making data science more accessible. Edge Computing: Allows data processing closer to the source, improving speed. Explainable AI (XAI): Enhances the transparency of AI models. Quantum Computing: Potentially solving complex data problems at an unprecedented speed. https://nareshit.com/courses/data-science-online-training
  • 8. Data Science is a transformative field shaping industries and impacting every aspect of business and society. A Data Science course empowers learners with the skills needed to interpret and leverage data, applying cutting-edge tools and techniques to solve complex problems. The course provides a pathway to high-impact careers, equipping professionals with the ability to make data-driven decisions that can drive success. Summary and Conclusion 8 https://nareshit.com/courses/data-science-online-training