A Trademark of
Eventbeep Technoservices Pvt. Ltd.
Certified Internship Program
Data Science Certification
data science certification can help individuals gain a competitive edge in the job market and increase their chances of getting hired or promoted in data science-related roles.
3,560 Students
Placement Assistance
8 Weeks, 1 hr/day (flexible schedule)
Apply for scholarships: Apply for waitlist to avail
Program Highlights
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Learn online
At your own schedule
Placement assistance
To build your career
Beginner friendly
No prior knowledge required
Mobile friendly
No laptop? No problem
Build 1 project
For hands-on practice
8 weeks duration
1 hr/day (flexible schedule)
Certificate of Training
From MentorBeep Trainings
Doubt clearing
Through Q&A forum
Downloadable content
With lifetime access
Why Learn Advanced Data Science?
☑️ Career Advancement Opportunities
An advanced data science certification can help individuals gain a competitive edge in the job market and increase their chances of getting hired or promoted in data science-related roles.
☑️ Enhanced Analytical and Problem-solving Skills
Pursuing an advanced data science certification can help individuals develop more sophisticated analytical and problem-solving skills, which are critical for success in data science-related roles.
☑️ Increased Earning Potential
With the increasing demand for data science professionals, those with advanced certifications may command higher salaries and better compensation packages than those without such credentials.
100,000+ companies use MentorBeep for hiring every year. So a certificate from Internshala is recognized everywhere.
What placement assistance will you receive?
☑️ Free Placement Prep Training
Learn how to build your resume, make great applications, and ace your interviews.
☑️ Curated internships & jobs
Get internships and fresher jobs as per your preference in your inbox.
☑️ Get highlighted on MentorBeep
Top performers will be highlighted in their internship & job applications on MentorBeep.
How will your training work?
Learn concepts
Go through training videos to learn concepts
1:1 doubt solving
Get your doubts solved by experts through Q&A forum within 24 hours
Test yourself
Test your knowledge through quizzes & module tests at regular intervals
Take final exam
Complete your training by taking the final exam
Hands-on practice
Get hands on practice by doing assignments and a project
Get certified
Get certified in Business Analytics upon successful completion of this training
Program Syllabus
☑️ Welcome to Unschool
Welcome to Unschool
☑️ Python for Data Science / What is Data Science
It is an interdisciplinary field that employs scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data.
☑️ Installation of Jupyter Notebook on Windows,what is Anaconda
It is a mixture of code with natural language texts. The possibility to experiment with data and see the code's results for each typed command makes it ideal for data scientists and researchers.
☑️ Statistics for Data Science
In Data Science, statistics is at the core of sophisticated machine learning algorithms, capturing and translating data patterns into actionable evidence.
☑️ Machine Learning Part1
This chapter is part of the upgrade process that happens every 3 months. Kindly continue with the next chapter and come back later to access this chapter.
☑️ Machine Learning Part2
Discover the decision tree and random forest in Machine Learning Part2.
☑️ Machine Learning Part3
The next chapter discloses Support Vector Machine (SVM), KNN, and Naive Bayes Classifiers in Machine Learning Part3.
☑️ Data Cleaning
Data cleaning is first identifying any issues or bad data, then systematically correcting these issues.
☑️ Feature Engineering
Effective feature engineering is founded on sound knowledge of the business problem and the available data sources.
☑️ Model Building
Learn the techniques to build a model and select how to choose Regression and Classification Techniques.
☑️ Flight Fare Prediction Project
In this module explore the process of the flight fare prediction project with data cleaning, feature selection, model building, and deployment of the project.
☑️ Data visualisation in Python using Matplotlib
Data visualisation in Python using Matplotlib
☑️ Web Scraping
Web Scraping
☑️ Pythion Integration with Hadoop
