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Data Science and Machine Learning Program - Beginner
Understand the challenges faced by data scientists with the Data Science and Machine Learning Program - Beginner certification course.
Inclusive of GST
Medium of instructions English
Mode of learning Classroom
Mode of Delivery Video Based
Data Science and Machine Learning Program - Beginner certification is a 15 months programme that is an offering of the institution Scaler. This programme is responsible for ensuring that participants are gaining full knowledge, and their confidence is on the rise for understanding the challenges faced, and also finding out the solution for a data scientist or a machine learning engineer right from day number one.
Data Science and Machine Learning Program - Beginner training programme has a comprehensive curriculum that is lectured upon live by industry experts and thought-leaders. With this course, the students are able to solve and improve business problems by utilizing data science, and machine learning concepts. During this programme, the participants will be undergoing projects that have been built with the assistance of top tech companies. All the curriculum and live expert sessions can guide the candidates getting placed with two times salary growth in eminent organisations.
- 15 months programme
- Industry-approved course
- 100+ mentors
- Two times salary growth
- Industry-tested curriculum
- Certificate by Scaler
- 15 months course
- Completion certificate
- Structured curriculum
- Live classes
- Top company projects
- Critical tech tools
- 1:1 mentorship
- Mock interviews
- Advisory committee
Course and certificate fees
The Data Science and Machine Learning Program - Beginner certification fee is Rs. 2.5 lakhs. Scaler does give scholarships to the participants during payment of the fee which comes to around Rs. 25,000. Even EMI options can be chosen where each month the payment to be made comes to Rs 7,200.
Data Science and Machine Learning Program - Beginner Fee Structure
Rs. 2.5 lakhs including GST
certificate providing authority
Who it is for
Graduated students who have the intention of learning coding skills using machine learning, and data science are the targeted audience so that they can pursue being data scientists or machine learning engineers.
- As such no prerequisites are required, except for the students who have to graduate during the year 2020 or before.
What you will learn
With the Data Science and Machine Learning Program - Beginner certification syllabus, the candidates with minimum coding knowledge will start learning it from scratch and will make them more confident about their basic, fundamental knowledge. The course will highlight topics like Structural Analysis, Data Analytics, Deep Learning, Big Data, and more.
Learn about Data Science and Machine Learning Program - Beginner classes with the below steps:
Step 1: Follow Scaler’s official website: https://www.scaler.com/data-science-course/.
Step 2: Then after finding the ‘Apply Now' button, the participant will have to click that for further proceedings.
Step 3: A small sign up form shall be displayed which has to be filled with efficiency, and submitted.
Step 4: The further admission procedure is explained to the participants based on their performance in the MCQ Entrance test on coding held for 30 minutes.
Step 5: Once the test is cleared, the fee has to be paid for admission.
Filling the form
There is no application form that can be located on the Scaler official site. The registration form that is found requires details like name, email, a working phone number for verification, and information on whether the participant is working or a college student. Other than these details, the other ways in which registration can proceed are using social accounts like Github, Facebook, Linkedin or Google.
Introduction to Programming
Programming - Intermediate
Structures, Unions & Dynamic Arrays
Statistical Analysis & Data Analytics
Python, Jupyter, Numpy, Pandas
Git, Linux Terminal, File I/O
Statistics, Probability, Linear Algebra
Distributions, Sampling, Hypothesis Testing
Databases, SQL, Index, Partition, Schema
Web API, Scraping, Automation, Flask
Data Science & Machine Learning
EDA, Data wrangling, Feature Engineering
Supervised & Unsupervised Models
Predictive Modeling & Forecasting
ML Engineering - Deep Learning & Big Data
Keras, TensorFlow, PyTorch
Neural Networks, Computer Vision, NLP
Research Papers in Deep Learning
Warehouse - AWS S3, HDFS, HBase, NoSQL
Ingestion - Kafka
Analysis - PySpark, YARN, Airflow, Hive
Programming - Advanced
Time Complexity, Arrays, Strings, Binary Search, 2 Pointers, Recursion, Hashing, Sorting, Bit manipulation
Stacks, Queues, Linked Lists, Trees, Tries, Heap
Greedy, DP, Graphs
DB and System Design
When starting the journey of learning with Scaler, the participants are offered Rs. 25,000 scholarships while paying the course fee.
How it helps
The Data Science and Machine Learning Program - Beginner certification benefits are:
- Even before the programme starts a 30 min quick aptitude test to find out the coding skills present in an individual is conducted to determine which level, of course, is perfect.
- The candidates become aware of being a complete data scientist along with developing real-world skills.
- After the certification, the former alumni get job opportunities in more than 600 promising startups and reputed technology companies.
- Learners can get associated with tons of machine learning engineers, and data scientists from top-rated companies.
- The course offers one on one mentorship sessions every month twice where the candidate’s queries are resolved, and interview tips are given.
- All the candidates are guided for publishing papers of research in global conferences.
Mr Mudit Goel
Mr Kshitij Mishra
They may be contacted by hitting the button’ Request Callback’.
Faculty who have already built scalable systems take up regular live classes.
A period of 2 weeks is given as the trial period.
The amount of time during which the course beginner programme is held is 15 months.
Yes, when students during the trial period feel that this course is not apt, and want to quit, then, in that case, the money is returned back.
Harvard University, Cambridge via Edx
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