Internship > CSE / IT > Data Science

Data Science

Learn the required theory, obtain the practical skills, and get the right industry exposure to be able to use the scientific methods, processes, and algorithms to extract actionable insights from large chunks of data and become a successful Data Scientist.

4.7 4,405+ learners

Why acmegrade?

Live Training sessions

Distinguished Mentors

Internship Experience

Industry Relevant Projects


Professional Certifications


Overview of the program

Data science is a field that relies on scientific methods, processes, and algorithms to extract actionable insights from large chunks of data. The current market is rapidly evolving, the main source of commerce is becoming increasingly digital thanks in large part to AI and machine learning. Data science assists these new technologies by figuring out solutions to problems by linking similar data for future use.

01What does a data scientist do?

A data scientist locates patterns and trends in data-sets to uncover insights, create algorithms and data models to forecast outcomes, & use machine learning techniques to improve quality of data or product offerings.

02Is a career in data science rewarding?

A relatively new career field, data science is rapidly becoming one of the more popular career choices among people in the STEM fields today. Data scientists can expect a starting salary of around rupees 6 lac per annum. The average salary of data scientists today is around 10-12 lacs per annum. Data science is a vast profession with a multitude of specializations. With the skills & qualifications required to be a data scientist you can get a career as:

  1. Data Scientist
  2. Data Analyst
  3. Data Engineer
  4. Business Analyst
  5. Marketing Analyst
  6. Data Architect
  7. Data and Analytics Manager

03Why Acmegrade?

At Acmegrade we place an emphasis on equipping our interns with the practical skills necessary to succeed. This doesn’t mean however, that the subject’s theory is exempted from our course. We will teach you the necessary theoretical concepts and practical skills to succeed. We will also let you get hands-on experience from our top associated mentors who are distinguished in their respective fields.



  • What is data science?
  • Applications & uses of data science
  • Relation between data science, AI & machine learning

Introduction to Python

  • Understanding Python
  • Data types, list, dictionary
  • Array, string operations,
  • Conditions and loops

Fundamental of Python

  • Inbuilt and user defined functions
  • IO, Excel and DB operations
  • Error Handling
  • OOPs and Regular Expressions
  • Scope of Python
  • Decorators

Data Analysis

  • Data Visualization
  • Building a data visualization library
  • Numpy
  • Pandas
  • Matplot and seaborn libraries.

Introduction to Machine Learning

  • Decoding Artificial Intelligence
  • Fundamentals of Machine Learning
  • Types of machine learning

Tools Required for Data Science

  • Training, Testing
  • Cross validation Data Pickling
  • Scaling Technique
  • Error Metrics Features and label

Machine Learning in Data Science

  • Performance Metrics
  • Understanding Algorithms
  • Implementation of algorithms

Supervised vs unsupervised learning

  • Classification vs regression
  • Support vector machine
  • K-means clustering
  • Random forest linear

Deriving Insights from Data Sets

  • Introduction to Joins
  • Working with geodata & what-ifs parameters
  • Creation, calculation, and grouping of fields
  • Sorting, filtering, & analyzing data

Natural Language

  • 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

Predictive Modelling

  • Introduction
  • Types of productive modelling
  • Data extraction
  • Data exploration


Our Real- Time projects help you gain knowledge and enhance your skills.


On completion of a program each participant gets a course completion, internship and outstanding performance certificates.

Course Completion Certificate is awarded to you for the dedication and time you have provided to learn and enhance your skills during your training.

Internship Completion Certificate is awarded to you after gaining practical exposure and work experience by successful completion of the capstone projects.

Outstanding Performer Certification is awarded to the extraordinary students who have performed exceptionally well during the training and internship periods.

9 / 10 of our learners achieve their learning objectives after successful course completion.

Affordable and student friendly prices.



  • Recorded Lectures
  • Real Time Projects
  • 4+ Hrs of Live Sessions
  • One On One Doubt Sessions
  • Certifications
  • Mentor Support
  • Placement Guidance
  • Interview Assistance



  • Recorded Lectures
  • Real Time Projects
  • 4+ Hrs of Live Sessions
  • One On One Doubt Sessions
  • Certifications
  • Mentor Support
  • Placement Guidance
  • Interview Assistance



    • Recorded Lectures
    • Real Time Projects
    • 4+ Hrs of Live Sessions
    • One On One Doubt Sessions
    • Certifications
    • Mentor Support
    • Placement Guidance
    • Interview Assistance


Our Student Testimonials

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.

More Domains


01Can I learn data science without knowledge in computer engineering?

Certainly. In Data Science, you just need to understand the nature of the data and the methods used to obtain the required output. Some languages aid like Python, R and SQL, and they are also very easy to learn. At Acmegrade we teach you the concepts of Data Science from scratch, so it is easy even for those who are not pursuing a Computer Science degree.

02How long is the training?

Our self-paced and mentor led courses both last for a period of 2 months. Our advanced courses last for a period of 3 months.

03Will Acmegrade help with placements?

Acmegrade provides placement support for all students of our advanced courses. Students that perform well during their internship period in our self-paced and mentor led courses will also get placement support.

04Is there a difference between data science & data analytics?

Data Analysts are only responsible for extracting, cleaning, and crunching data. Data Scientists also formulate predictive modules with ML techniques in addition to the above-mentioned activities.

05Will I get an internship?

Yes, Acmegrade guarantees an internship opportunity for all our students across all our courses.

06Can i pay the fee In instalment ?

Yes, you can book your slot by paying 1000 INR as pre-registration and the remaining amount can be paid later before starting the program.

Our Prestigious partners

Playablo, MIT, LPU, KiiT, Webmosphere, HustleHub, VI, Vignan.

Recognized by

Our training partners

Join more than 10
million learners


Talk to
our experts

By Submitting, I agree to terms & conditions and privacy policy