DATA SCIENCE INTERNSHIP PROGRAM..
LIMITED REGISTRATIONS, CLOSES SOON
ABOUT TRAINING+ INTERNSHIP
Data science has critical applications across most industries, and is one of the most in-demand careers in computer science. Data scientists are the detectives of the big data era, responsible for unearthing valuable data insights through analysis of massive datasets. And just like a detective is responsible for finding clues, interpreting them, and ultimately arguing their case in court, the field of data science encompasses the entire data life cycle. That starts with capturing lots of raw data using data collection techniques, and then building and maintaining data pipelines and data warehouses that efficiently “clean” the data and make it accessible for analysis at scale. This data infrastructure allows data scientists to efficiently process datasets using data mining and data modeling skills, as well as analyze these outputs with sophisticated techniques like predictive analysis and qualitative analysis. Finally, these findings must be presented using data visualization and data reporting skills to help business decision makers.
WHY DATA SCIENCE IS SO IMPORTANT ?
This gives students with data science backgrounds a wide range of career opportunities, from general to highly specific. Some companies may hire data scientists to work on the entire data life cycle, while larger organizations may employ an entire team of data scientists with more specialized positions such as data engineers to build data infrastructure or data analysts, business intelligence analysts, decision scientists to interpret and use this data.
THE DATA SCIENCE JOB MARKET
According to IBM, by 2021, the data analysis workforce will grow by 28% and the number of roles will increase from 364,000 to 2.7 million. For data science and other advanced data roles, the demand will reach 61,800. The democratization of data has governments, businesses, and organizations measuring any and everything to make better business decisions.
CAREERS IN DATA SCIENCE
- DATA ANALYST: Data Analysts are responsible for analyzing large datasets in the organization.
- DATA SCIENTIST: Data Scientists are responsible for designing a method for capturing data to gathering data, analyzing data and finally presenting the solution.
- DATABASE ADMINISTRATOR: Database Administrators work with technologies such as MySQL, MongoDB, and Postgres to manage large datasets.
- DATA ENGINEER: Data Engineers analyze the data and make program or product recommendations based on their analyses.
INTERNSHIP CIRRICULUM
1)Variables
2)Lists, tuples, Sets, Dictionaries
3)Control structures
4)Loops
5)Functions
6)Anonymous functions (Lambda)
7)Modules
i.Numpy
ii.Pandas
iii.Matplotlib
iv.Seaborn
8)Statistic fundamentals
9)Probability distributions
10)Hypothesis testing
11)Machine Learning models
i.Linear Regression – one variable
ii.Linear Regression – multi variable
iii.Logistic Regression
iv.Polynomial Regression
v.Gradient Descent
vi.Decision Tree
vii.Random Forest
viii.Naïve bayes classifier
ix.Support Vector Machine(SVM)
x.K-Nearest Neighbour (KNN)
xi.K-Means
xii.Apriori Algorithm
xiii.XGB Algorithm
xiv.DBSCAN
CERTIFICATION FROM BRAINOVISION
CERTIFICATES YOU RECEIVE
- TRAINING COMPLETION CERTIFICATE
- INTERNSHIP COMPLETION CERTIFICATE
- LETTER OF RECOMMONDATION
SAMPLE CERTIFICATE
Frequently Asked Questions
Live sessions or Prerecorded sessions?
We provide Live sessions in the Internship
What if I miss a live class?
Recording of live session will be uploaded in the portal everyday for the reference
When it is going to start?
Training+ Internship program starts on 15th May, 2022. The timings will be 7:00pm- 8:00pm
What will I do in the Internship period?
During the training period you will be trained on respective technology from basics to the pro level. You will be working on the same concepts pacticaly during the Internship period