Data Science Course with Placement

In Collaboration with ii

Minimum salary offered 5 LPA


Frame
Group472.1 Million Jobs Available in the market
Group4831.7% Industry Growth (Projected Annually)
Group495 LPA Assured Minimum Package
Ranked #1 Data Science Institute By India Today.
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In Collaboration with ii

Minimum salary offered 5 LPA


Frame

That's How We Make a Difference

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Key Features

  • 6 Months of Intensive Online Training
  • Delivered by industry experts
  • Certificate from IBM
  • 300+ Hours of Practical Assignments
  • Dedicated Mentor for Instant Doubt Clarification
  • 6 Months Internship Certificate
  • Hands-On Assignment for Each Module
  • Assured Minimum Package 5-25 LPA
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Get Hired

  • Maximum Salary Hike
    350%

  • Average Salary Hike
    170%

  • Hiring Partners
    400+

Our Stars,

Have Nailed Their Dream Positions In

Pricing:
Tuition Fee
₹ 49,999/-

Pay ₹ 10,000/- (Career Services Fee) Only after Getting Placed.

calenderNext batch Starts On 01 April Only 8 Seats Left

Perks of the program

  • Assured Minimum Package Starting from INR 5 LPA
  • Get Access to Quality Education
  • 300K+ Professionals Trained
  • More than 10,000 Careers Transformed(2022-2023)
  • Weekly mentorship sessions
  • Simplified Enrollment Process - No Tests, No Hassles
  • 6 Months Internship Certificate
How pay after
placement
works
  • Enrol for the course and complete the training, which includes lectures, assignments, projects, and career services.

  • Onboard StarX Placement Program by meeting the eligibility criteria.

  • Sign ISA (Income Sharing Agreement).

  • Pay ₹ 10,000/- (Career Services Fee) Only after Getting Placed.

Let's walk through your journey at Staragile
  • Course Curriculum ---------------------------------------------------------------------------------------------------------

    6 Months

  • Our course is designed by industry experts for excellent academic and industrial experience. We have a balanced combination of theoretical, technical and practical knowledge for you to get the best training experience for everyone regardless of their background.

    TOPICS
    • Introduction to Data Science using Python
    • Python basic constructs
    • Data types in python
    • Conditional Statements
    • Iterative Statements
    • Functions in Python
    • OOP in Python
    • File Handling
    • Exception Handling
    • Databases and SQL
    • Regular Expression
    TOPICS
    • NumPy for mathematical computing
    • Data manipulation using Pandas
    • Data visualization with Matplotlib and Seaborn
    • Data Pre-Processing
    • Web Scraping Using Beautifulsoup
    • Probability
    • Basic Terminology: Events, Sample Space, Experiment, types of events
    • Probability
    • Conditional Probability
    • Multiplication theorem
    • Partition of sample space, Theorem of total probability
    • Bayes' theorem
    • Random variables and probability distributions
    • Continuous and Discrete distributions
    • Binomial Distribution
    • Normal and Standard Normal Distributions
    • Descriptive Statistics
    • Measures of central tendency
    • Measures of dispersion
    • Visualizations
    • Outlier Detection
    • Covariance and correlation
    • Inferential Statistics
    • Central Limit Theorem
    • Confidence interval and confidence level
    • Hypothesis testing: Null and Alternate hypothesis
    • P value, Significance level
    • Statistical tests
    TOPICS
    • Introduction to Machine Learning
    • Supervised Learning
    • Regression
    • Linear Regression
    • Multiple and Polynomial Regression
    • Regularization, Ridge and Lasso Regression
    • Classification
    • Logistic Regression
    • K Nearest Neighbours
    • Decision Trees
    • Naïve Bayes
    • Support Vector Machine
    • Ensemble Techniques: Random Forests, Gradient Boosting Machines
    • Unsupervised Learning
    • Clustering
    • Principal Component Analysis
    TOPICS
    • Introduction to Deep Learning and Neural Networks
    • Introduction to Linear Algebra
    • Artificial Neural Networks
    • Neurons, Layers, and Activation Functions
    • Convolutional Neural Networks - Computer Vision
    • Convolution Operation, Pooling, Padding, and Strides
    • Transfer Learning (LeNet 5, AlexNet, VGG 19 & 16, ResNet, Inception V3)
    • Recurrent Neural Networks - Natural Language Processing
    • LSTM, GRU
    • Computer Vision & Natural Language Processing using CNNs & RNNs
    TOPICS
    • Installation
    • Introduction to PowerBI
    • Power Query
    • DAX
    • Functions
    • Visualizations
    • Reports
    • Dashboards
    TOPICS
    • Installation
    • Introduction to Tableau
    • Tableau UI
    • Connecting to Excel files
    • Tableau Charts and graphs
    • Functions
    • Reports
    • Dashboards
  • Career Track ---------------------------------------------------------------------------------------------------------------------------

    2 Months

  • Once you have enrolled for the program then you will have access to a wide range of resources which will help you in becoming a Job-Ready Candidate.
    We have a dedicated placement team of professionals who excel in their individual domains committed to assist you in our journey.

    TOPICS
    • Profile and Resume building
    • Portfolio Building
    • Build highly optimized Resumes and Cover Letters
    • Build your LinkedIn Profile
    TOPICS
    • Master class from the industry expert
    • Get proficient in business presentations
    • Learn how to frame professional emails
    • Excel in telephonic communication and Business Vocab
    • Networking and building Interpersonal Skills
    TOPICS
    • Based on the course curriculum
    • Evaluates the understanding of theoretical and practical concepts
    • Adds credibility and accountability to the candidate
    • Difficulty level- moderate
    TOPICS
    • Interview prep and mock interviews
    • Interview Best Practices
    • Mock interviews
    • Module-wise Interview Questions
  • Sign ISA Agreement
  • Pay ₹ 10,000/- (Career Services Fee) Only after Getting Placed.
You can Pay the Career Services Fee of INR 10,000 in easy EMIs through our financing partners.
calenderNext batch Starts On 01 April Only 8 Seats Left

You are now a
Certified Data
Scientist

Internship Certificate

Course Certificate

Clear all your basic doubts with these FAQs

What are the eligibility criteria to move to StarX Placement Program?

To Clear Phase-1: You must have 75% attendance throughout the course, and submit all the assignments and projects successfully within the given timeline.
To Clear Phase-2: You must attend the resume-building and business communication session. The students must clear the competency test and mock interviews by SME and Sign the ISA.

Who can enroll in the course?

Our course is open to anyone who wants to learn and upskill in the Data Science field. You can enrol irrespective of your educational background and even if you are a working professional.
The course is of great use for professionals whose busy schedules do not allow them to take full-time courses. They can easily learn at their pace with the top educators. .
IT or Non-IT, the course is just right for you to upskill and get your dream job.

What do you mean by cohort?

A group of trainees learning together- starting and ending the course together is referred to as a cohort. Community learning is infused into the programs to help the trainees learn together and discuss at the time of any need.

Do I need to pass any tests to enrol in the program?

No, you don't have to give any tests to enrol for our program.

It is compulsory to participate in the Placement Program?

No, it is not compulsory to participate in the Placement Program.

What are the class timings?

The classes are from Monday to Friday and the time is from 7:30 pm to 10 pm.

Can I change my batch?

You will have the option to change the batch only within the first 4 classes if someone fails to raise the request before 4 classes strictly not eligible for batch change

I have a gap due to certain circumstances, do I have an opportunity to get placed?

If you have completed the entire training timely and showed excellent performance during the course, you have an opportunity to get placed after a gap too.

How many mentorship sessions do I get?

The students will get 3 hours of mentorship sessions every Wednesday.

What if I decide to discontinue the course?

You cannot discontinue the program, once you have enrolled for the course and started attending the sessions. But, if you want to discontinue the course anyways, there will be no refund available for the refundable security deposit.

What is the medium for instructions?

We have all our course sessions in English.

What is the refund policy?

Refund is applicable when a student registered for the course and has not attended not even a single class, candidates are eligible to raise the refund request within 3 days of the actual payment date.
There is no refund if your cohort is already in progress.

When does the placement process start?

The placement process will start once the student has completed the training and cleared the eligibility for the placement program.

What is a competency test?

The competency test is a simple test based on the course curriculum and the topics covered in the class. This test is just to ensure that you are technically and theoretically sound.

How many hiring partners does StarAgile have?

We have 300+ hiring partners ranging from startups to top MNCs. The numbers are constantly increasing as we are working towards expanding our network.

What if I only want a job in a specific location?

The job opportunities are completely based on our hiring partner. We pose no commitments in the aspect of job preference.

Do you provide job-switching options?

No, we do not provide any job-switching options.

What is the minimum Salary I can expect?

According to the norm our StarX Placement Program, you will get a minimum of 5 lakhs per annum.

What do I do if I don’t have a pan card/adhar card?

Pan Card/ Adhar Card is mandatory if you want to enroll for any course at StarAgile.

What is an Income Sharing Agreement?

An Income Sharing Agreement or ISA is a legal document signed between you and StarAgile. You only have to sign the agreement if you want to take our career services. As per ISA, after getting placed the students have to pay INR 10,000 to StarAgile as a career services fee.

When do I need to sign the agreement?

You have to sign the agreement after you have completed the training and cleared the eligibility criteria for the StarX Placement Program. Please note that you only have to sign the agreement if you want to take our placement services.

What if I get a salary package of less than 5 lakhs?

We assure you that the candidates will get a minimum annual CTC of INR 5 LPA, but in case that doesn’t happen due to any case the the income sharing will be done on the below-mentioned basis:
Salary Shared Income(total CTC)
Below 3.5 LPANo Fee
3.5 LPA-4 LPAINR 50,000
4 LPA-5 LPAINR 65,000
5 LPA and aboveNR 10,000

When will I make the payments as per ISA?

The students need to pay after they get placed and get their first salary. They need to pay INR 10,000 to StarAgile as a career services fee which can be paid in easy EMIs.

Do you provide a copy of ISA?

At the time of signing up the document, you will be provided with all the clauses and explained thoroughly about the process. You will be provided with a copy of the same.

What if I don’t give the EMIs?

The EMI collection at StarAgile happens through a third-party NBFC. If you fail to provide the payment, legal actions will be taken against you by the third party. Moreover, it will impact your credit score negatively.

In this Blended training, candidates get access to the pre-recorded video lectures of the training sessions study materials, 24x7 learning support, access to StarAgile’s LMS, IBM certification and a dedicated mentor for doubt clearance. Specially designed for candidates who want flexibility in learning

INR 19,999
  • Learn with flexibility
  • 24*7 support
  • IBM Certification

Awards

News Room

India Today ranks StarAgile among “Best Institutes for Data Science in India”
Check it out

The Deccan Chronicle placed StarAgile among the Top DevOps Training Institutes in India
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“StarAgile is among Top 5 PMP Certification Institutes in India”-
India Today
Check it out

The Business Standard remarks StarAgile amid “Best SAFe Agile Certification Institutes in India”
Check it out

Success Stories

Chaitra Manjunath

ML Engineer, Tech Mahindra

Dimple Prasad Hari

Data Scientist, Fractal Analytics

Swati Sinha

Marketing Analyst, FedEx

Skills Covered

Python
R
Scipy
Numpy
Pandas
Matplot
Seaborn
Scikit-Learn
Scipy
Arima
NLTK
TextBlob
Pytorch
Keras

Tools Covered

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Data Science Projects

Placement Patners

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NMAP PROJECT
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Summary

Data science merges different algorithms, tools, and machine learning concepts to identify unique patterns within raw data. It is a disciplinary approach that extracts meaningful insights from globally spread data. It prepares data for processing, analysis, and advanced assessment to reveal patterns, helping businesses find useful conclusions.

Moreover, it can include data manipulation, storing, and cleansing for specific processing purposes. Its analysis needs the use and development of analytics, AI models, and algorithms. Data science thrives on software that runs across complex data to convert the patterns into usable predictions that support business decisions. 

This is what the data science training program teaches. Here is what candidates can learn with data science certification:

  • Skills to clean and load real-world data.
  • Understanding of problems only solvable via data science.
  • Visualization of complex data.
  • Preparation of reliable statistical references from unstructured data.
  • Ability to address data-related issues from a statistical point of view.
  • Comprehension of how and when to use unsupervised and supervised statistical tools.
  • Skills to address labeled and unlabeled data-related problems.
  • Ability to develop data analytical applications and pipelines in Python.
  • AI, data mining, data learning, and forecasting.

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