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Data Scientist
Companies are looking for data-driven decision makers, and this Career Path will teach you the skills you need to become just that. You'll learn to analyze data, communicate your findings, and even draw predictions using machine learning. Along the way, you'll build portfolio-worthy projects that will help you get job-ready. You would be mentored by an Industry Expert who has tons of experience as a Data Scientist.AICTE recommended Internships provide exposure to the real world through a professional mentor's guidance. They ultimately help freshers to stand out in getting a job. You will learn how to apply the knowledge you have acquired during an internship to your future workplaces. In addition to this, it is an excellent learning curve for young graduates and students while meeting new people and making connections in the professional world.
Includes(Topics)
- SQL ,
- Python 3 ,
- NumPy ,
- pandas ,
- matplotlib ,
- scikit-learn ,
- and more...
There are 21 Courses in this Specialization
Course
1
Welcome to the Data Scientist Career Path
Start off with an overview of what you'll cover in the Data Scientist Career Path, projects you'll build, and resources you'll benefit from.
Course
2
Getting Started with Data Science
Start with a quick introduction to Data Science: what it is, how it works, and how it's shaping the future of the technology industry.
Course
3
Python Fundamentals
Learn the fundamentals of Python from syntax to modules.
Course
4
Python Portfolio Project
Use your understanding of Python syntax to sort and analyze data about U.S. medical insurance costs!
Course
5
Data Acquisition
Learn about various methods of acquiring data.
Course
6
Data Manipulation with Pandas
Gain an overview of data manipulation and data analysis with pandas, and introduce Python lambda functions.
Course
7
Data Wrangling and Tidying
Most data scientists spend the bulk of their time preprocessing data. Learn how to do it right.
Course
8
Summary Statistics
Learn about how data scientists use summary statistics to gain insights about data!
Course
9
Hypothesis Testing
Learn how to design and conduct a hypothesis test in Python.
Course
10
Data Visualization
Use data visualization to better explore and analyze your data.
Course
11
Data Visualization Portfolio Project
Use your understanding of data visualization to analyze and plot data about GDP and life expectancy.
Course
12
Communicating Data Science Findings
Communication is an important part of your work as a data scientist. Learn best practices for effectively explaining your analysis.
Course
13
Data Analysis Portfolio Project
Use your knowledge of data analysis to interpret data about endangered animals for the National Park Service.
Course
14
Natural Language Processing
Learn the basics of Natural Language Processing - a field focused on programming computers to understand natural languages like English!
Course
15
Foundations of Machine Learning: Supervised Learning
Learn the basics of Machine Learning while investigating several supervised learning techniques.
Course
16
Foundations of Machine Learning: Unsupervised Learning
Dip your toes into unsupervised machine learning with K-Means clustering, hierarchical clustering, and PCA.
Course
17
Foundations of Deep Learning
Get ready to dive headfirst into deep learning fundamentals!
Course
18
Machine Learning Portfolio Project
Use your knowledge of machine learning to build, train, and test predictions you draw about data from OKCupid.
Course
19
SQL for Interview Prep
Build on your SQL knowledge to prepare yourself for data scientist interviews.
Course
20
Data Scientist Final Portfolio Project
Show off your knowledge of data science by developing your final portfolio project on a topic of your choice.
Course
21
Next Steps
Congratulations on finishing the Data Scientist Career Path! What will you do next?
Frequently Asked Questions
Frequently Asked Questions
