Data Science Training
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Data Science Training
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Learn the necessary theory, gain the necessary practical skills, and gain the necessary industry exposure to be able to use scientific methods, processes, and algorithms to extract actionable insights from large amounts of data and become a successful Data Scientist.
WHY LEARN FROM INTERNINFOTECH?
Training lessons in real time
Outstanding
Teachers
Internship
Experience
Industry Oriented Projects
LMS
Access
Professional Certifications
OVERVIEW OF THE PROGRAM
Data science is a field that extracts actionable insights from large amounts of data using scientific methods, processes, and algorithms. The current market is rapidly evolving, and the primary source of commerce is becoming increasingly digital, owing largely to AI and machine learning. Data science helps these new technologies by solving problems by linking similar data for future use.
What exactly does a data scientist do?
A data scientist searches for patterns and trends in data sets to gain insights, develops algorithms and data models to forecast outcomes, and employs machine learning techniques to improve the quality of data or product offerings.
Is a career in data science financially rewarding?
Data science, a relatively new career field, is quickly becoming one of the more popular career options among people in STEM fields today. Data scientists can expect to earn around Rs. 6 lac per year as a starting salary. The average annual salary for data scientists today is around 10-12 lacs. Data science is a broad field with numerous specialisations.
With the skills & qualifications required to be a data scientist, you can get a career as:
- Data Scientist
- Data Analyst
- Data Engineer
- Business Analyst
- Marketing Analyst
- Data Architect
- Data and Analytics Manager
Why should you choose InternInfoTech?
At InternInfotech, we prioritise providing our interns with the practical skills they need to thrive. However, this does not imply that the subject’s theory is exempt from our course. We will show you the theoretical concepts and practical skills you will need to thrive. We will also provide you with hands-on experience from our top associated mentors who are well-known in their areas.
WHY LEARN FROM INTERNINFOTECH?
Our training curriculum includes ideas ranging from basic to advanced, allowing freshmen to excel in their careers.
- What is data science?
- Applications & uses of data science
- Relation between data science, AI & machine learning
- Understanding Python
- Data types, list, dictionary
- Array, string operations
- Conditions and loops
- Inbuilt and user defined functions
- IO, Excel and DB operations
- Error Handling
- OOPs and Regular Expressions
- Scope of Python
- Decorators
- Data Visualization
- Building a data visualization library
- Numpy
- Pandas
- Matplot and seaborn libraries.
- Decoding Artificial Intelligence
- Fundamentals of Machine Learning
- Types of machine learning
- Training, Testing
- Cross validation Data Pickling
- Scaling Technique
- Error Metrics Features and label
- Performance Metrics
- Understanding Algorithms
- Implementation of algorithms
- Classification vs regression
- Support vector machine
- K-means clustering
- Random forest linear
- Introduction to Joins
- Working with geodata & what-ifs parameters
- Creation, calculation, and grouping of fields
- Sorting, filtering, & analyzing data
- What is natural language?
- Natural Language Toolkits (NLTK)
- Stopwords
- Stemming
- Lemmatization
- What is sentiment analysis?
- Native and bayes
- Probability & distribution
- Central limit theorem
- Hypothesis testing
- Categorical data
- Introduction
- Types of productive modelling
- Data extraction
- Data exploration
- What is data science?
- Applications & uses of data science
- Relation between data science, AI & machine learning
- Understanding Python
- Data types, list, dictionary
- Array, string operations
- Conditions and loops
- Inbuilt and user defined functions
- IO, Excel and DB operations
- Error Handling
- OOPs and Regular Expressions
- Scope of Python
- Decorators
- Data Visualization
- Building a data visualization library
- Numpy
- Pandas
- Matplot and seaborn libraries.
- Decoding Artificial Intelligence
- Fundamentals of Machine Learning
- Types of machine learning
- Training, Testing
- Cross validation Data Pickling
- Scaling Technique
- Error Metrics Features and label
- Performance Metrics
- Understanding Algorithms
- Implementation of algorithms
- Classification vs regression
- Support vector machine
- K-means clustering
- Random forest linear
- Introduction to Joins
- Working with geodata & what-ifs parameters
- Creation, calculation, and grouping of fields
- Sorting, filtering, & analyzing data
- What is natural language?
- Natural Language Toolkits (NLTK)
- Stopwords
- Stemming
- Lemmatization
- What is sentiment analysis?
- Native and bayes
- Probability & distribution
- Central limit theorem
- Hypothesis testing
- Categorical data
- Introduction
- Types of productive modelling
- Data extraction
- Data exploration
PROJECTS
Our Real-Time projects help you gain knowledge and enhance your skills.
Used Cars Cost Prediction
Detection of Parkinson's Disease
Sales Forecasting System
Movie Recommendation Engine
PRICING PLAN
We provide best programs at affordable price and student friendly.
SELF PACED
₹ 4000
- RECORDED LECTURES
- REAL TIME PROJECTS
- 4+ HRS OF LIVE SESSIONS
- ONE ON ONE DOUBT SESSIONS
- CERTIFICATIONS
- MENTOR SUPPORT
- PLACEMENT GUIDANCE
- INTERVIEW ASSISTANCE
MENTOR LED
₹ 6000
- RECORDED LECTURES
- REAL TIME PROJECTS
- 16+ HRS OF LIVE SESSIONS
- ONE ON ONE DOUBT SESSIONS
- CERTIFICATIONS
- MENTOR SUPPORT
- PLACEMENT GUIDANCE
- INTERVIEW ASSISTANCE
OUR CERTIFICATION
On completion of a program each participant gets a course
completion, internship and outstanding performance certificates.
What Our Clients Say
Our Alumni Work At
Our alumni are already starting to make waves in their
industries. Our former students are already working in high-
profile industries and are shaping our futures.
Frequently Asked Questions
Can I study data science without a background in computer engineering?
What is the distinction between data science and data analytics?
Data analysts are only in charge of data extraction, cleaning, and crunching. In addition to the aforementioned activities, Data Scientists develop predictive modules using ML techniques.
How long will the training last?
Our self-paced and mentor-led courses both last two months. Our advanced classes are three months long.
Will InternInfoTech assist with job placements?
Will I be able to get an internship?
Is it possible to pay the fee in installments?
Yes, you can reserve your spot by paying 1000 INR as a pre-registration fee, and the remaining amount can be paid later before the programme begins.