Advanced Data Science Master Course - Advanced Data Science and Machine Learning Masterclass

Data science and machine learning are seen today at the forefront of change in industries. With data being called the “new oil,” every sector organisation is after acquiring skilled professionals who could analyse and make actionable insights from data. Want to be placed at the best places where technology and innovation are concerned? Advanced Data Science Master Course by Cinute Digital Pvt. Ltd. (CDPL) will prove to be the perfect pathway for you.

This course is therefore designed extensively to let you know and get your hands dirty in all the aspects of data science, machine learning, and artificial intelligence. This course takes one from understanding basic concepts to mastering the most intricate techniques that are applied to data science in the industry, and it doesn’t matter whether a person is a beginner in the field or already has experience.

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What Will You Learn in the Master Course Advanced Data Science by CDPL?

Our Master Course Advanced Data Science will take you on a very deep and comprehensive dive into important concepts and tools used by data scientists and machine learning experts. You will learn:

1

Python and Python Libraries

  • Learn how to use Python, the most popular language in the realm of data science, building experience in this area. You will learn how to work with libraries such as Pandas, NumPy, and Matplotlib to manipulate data, visualize it, and build robust data science applications.

2

MySQL

  • Know how to work with relational databases, query and analyze data stored in MySQL databases, and learn how to interact effectively even with large datasets.

3

R Programming

  • Master the statistical language R, widely used for data analysis, statistical modeling, and data visualization. It allows you to work with multiple sources of data and perform deeper analysis and modeling.

4

Machine Learning Algorithms

  • Learn core machine learning algorithms, such as supervised and unsupervised learning, deep learning, regression, classification, clustering, and many more. Then, derive the knowledge to implement them to solve real-world problems.

5

Power BI

  • Discover and master the skills in a versatile business analytics tool, Power BI, that you might offer for developing dashboards and visualizations which can help decision-makers quickly understand the insights of data.

6

Tableau for Data Analytics

  • Gain expertise in Tableau, one of the most powerful tools for data analytics and visualization. Learn how to create interactive dashboards, manage large datasets, and generate impactful insights for businesses.

7

Data Visualization in Excel

  • Explore the capabilities of Excel for data visualization. Learn to create compelling charts, graphs, and dashboards to present data effectively, making Excel a powerful tool in your analytics toolkit.

Why Choose the Advanced Data Science Master Course by CDPL?

Here are several reasons why our Advanced Data Science Master Course is an ideal choice for those looking to build further in a career in data science and machine learning. Here are just a few of them:

Hands-On Training

Our course will help you learn through doing, learning the theory but more importantly, by working on real projects that would help you learn how to apply your skills in actual job-related settings. You will be guided through each module and project so you can demonstrate your skills in a practical setting.

We also give a free course demo that is going to give you a taste of the training style; thereby, helping you assess whether it’s the perfect fit for you or not.

Industry-Leading Mentors

Our mentors have years of hands-on experience in the field. Many of them actually pioneered the advancements in data science and machine learning into various industries. Learning from seasoned experts will give you an opportunity to get some insight into industry best practice and latest trends and technologies.

Our Advanced Data Science Master course ensures that you gain not only theoretical knowledge but also real-life case studies and examples reflecting the current landscape of industry.

Job Readiness

In addition to theoretical and practical training, we provide broad career guidance and readiness training in preparation for job placement. Our aim is not only for you to become a proficient data scientist but also prepare you for entering the job market. You will be personally guided in terms of how to work on your resume and prepare for interviews and get connections with possible employers.

We acknowledge the overwhelming process which one can undergo while transitioning into data science; that is why our experts are ever ready to guide you step by step until you feel fully prepared and ready to take up your first data scientist position.

Industry Certification

Once you’ve finished your Advanced Data Science Master Course, you are going to get a completion certificate of this course. This is going to clearly show that you are proficient enough and ready to work for any employer that needs professionals with knowledge in data science. Our certificates are scrutinized by top companies so this gives you the edge when it comes to job markets.

We are looking for employees seeking practical experience with professional certification; thus, the course will equip you with one stating your proficiency over the key concepts and tools of data science.

Flexible Schedule to Learn

Many students and professionals have other commitments. That is why we have a flexible learning schedule to accommodate you so you could learn at your own pace. From full-time to part-time studies, our Advanced Data Science Master course ensures that your needs are being met.

The online learning platform will thus provide an opportunity where a person can easily download his or her materials at a time when it is convenient and access them anywhere.

Our Placements

Our Students Who Have landed Their Dream job In

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jm-financial
vistaar
sp-ultraflex
marqetrix
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galentic
tech-cryptors
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medi-venturz
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Sessions

65 Lectures

Duration

130 Hrs

Placement

100% Assurance*

Job CTC

Upto 8 LPA*

Sessions

65 Lectures

Duration

130 Hrs

Placement

100% Assurance*

Job CTC

Upto 8 LPA*

Download Brochure

LAND YOUR DREAM JOB

Chief Data Scientist

Ascend to Chief Data Scientist at data-centric organizations like LinkedIn

Strat. Leadership
AI Governance
Adv. Analytics
Innovation Mgmt.
Machine Learning Architect

Design as a Machine Learning Architect at AI-driven companies like Nvidia

System Design
Tech Roadmapping
Scalable Models
Perf. Engineering
AI Strategy Consultant

Strategize as an AI Strategy Consultant with global tech consultancies like Accenture

AI Deployment
Ethical AI Use
Biz.Transform
Market Intel
Director of Data Engineering

Lead as Director of Data Engineering at cloud services leaders like AWS

Team Leadership
Cloud Computing
Data Infra.
Data Security

Make You Industry-Ready

EXCLUSIVE CAREER

Why Join Us?

Hands-On Training

Experience our interactive, hands-on teaching approach through a free course demo.

Industry-Leading Mentors

Learn from seasoned professionals who have pioneered advancements in their industries.

Job Readiness

Receive personalized career guidance and placement assistance.

Tools and technologies

Visual-Studio-Code
Python
Jupyter
Colab
Machine-Learning
Numpy
Pandas
Matplotlib
Seaborn
RStudio
PowerBI
MySQL

Key Features of the Advanced Data Science Master Course

Comprehensive Curriculum

The course covers all aspects of data science, machine learning, and data analytics tools such as Python, R, MySQL, and Power BI.

Project-Based Learning

Work on multiple real-world projects that will give you a portfolio to showcase to future employers.

Lifetime Access to Course Materials

Once enrolled, you’ll have lifetime access to the course content, so you can refresh your knowledge at any time.

24/7 Online Support

Our dedicated support team is available around the clock to assist you with any questions or issues you may have during your learning journey.

OUR CURRICULUM

Our Interactive Course Content

Python Programming

  1. What Is Python?
  2. Benefits of Learning Python Programming Compared to Other Programming Languages?
  3. Interpreted vs compiled
  4. Dynamic programming
  5. Scripted vs GUI vs Interactive mode

  1. Installation of Anaconda
  2. Installation of PyCharm
  3. Installation of VS Code
  4. How to use VS Code, Jupyter & PyCharm.
  5. How to use google Collab and it’s benefits
     
     

  1. Variables
  2. Datatypes
  3. Operators

  1. Integer
  2. Float
  3. complex

  1. String Slicing
  2. Iterating Over String

  1. List
  2. Tuple
  3. Dictionary
  4. Sets

  1. If Condition
  2. EIif Condition
  3. Else Condition
  4. While Loop
  5. For Loop
  6. Break & Continue Statement

  1. List Unpacking
  2. Tuple Unpacking
  3. Dictionary Unpacking

  1. List Comprehension
  2. Dictionary Comprehension
     
     

  1. Basic Functions
  2. Lambda Functions/Expression
  3. Map() Function/Expression

  1. Palindrome, Fibonacci, factorial
  2. Prime number, divisibility test, count of substring
     
     

Classes (Simple to Advance)
  1. Inheritance
  2. Encapsulation
  3. Polymorphism
  4. Abstraction

Python Libraries for ML

  1. Introduction to NumPy
  2. NumPy Array
  3. Array Attributes
  4. Array Methods

  1. Introduction to Pandas
  2. Pandas Series
  3. Accessing Series Elements
  4. Pandas Data frame – Introduction
  5. Data frame Creation
  6. Reading Data from Various Files
  7. Accessing Data frame
  8. Data frame Sorting
  9. Data frame Concatenation
  10. Data frame Joins
  11. Data frame Merge
  12. Reshaping Data frame
  13. Data frame Operations
  14. Data frame methods - head(),tail, dType, shape, get_dummies
  15. Checking Duplicates
  16. Dropping Rows and Columns
  17. Replacing Values
  18. Missing Value Analysis & Treatment

  1. Plot Styles & Settings
  2. Line Plot
  3. Multiline Plot
  4. Matplotlib
  5. Subplots
  6. Histogram
  7. Boxplot
  8. Pie Chart
  9. Scatter Plot
     
     

  1. Strip plot
  2. Distribution plot
  3. Joint plot
  4. Violin plot
  5. Swarm plot
  6. Pair plot
  7. Count plot
  8. Heatmap

Machine Learning Algorithms

  1. What is DS/ AI/ Ml with examples
  2. ML Types
  3. Algorithm vs model
  4. Using Google colab

  1. Linear Regression with ordinary Least Square (OLS)
  2. Optimization Technique
  3. Linear Regression with Stochastic Gradient Descent (SGD)
  4. Logistic Regression
  5. Decision Trees
  6. Random Forests & Gradient Boosting
  7. Ensemble Techniques
  8. Support Vector Machines (SVM)
  9. Naïve Bayes
  10. KNN algorithm

  1. Principal Components Analysis (PCA)
  2. K-Means Clustering
  3. Implementation of K-Means
  4. Hierarchical Clustering
  5. Types of Hierarchical Clustering
  6. DBSCAN

MySQL

  1. The SELECT clause
  2. The WHERE clause
  3. The AND, OR and NOT operators
  4. The IN operator
  5. The BETWEEN operator
  6. The LIKE operator
  7. The REGEXP operator
  8. The IS NULL operator
  9. The ORDER BY clause
  10. The LIMIT clause
  11. The GROUP BY clause
  12. The HAVING clause

  1. Arithmetic operators
  2. Concatenation operators
  3. Comparison operators
  4. Relational operator
  5. Logical operator
  6. Special operator

  1. INNER JOINS
  2. JOINING ACROSS DATABASES
  3. SELF JOINS
  4. JOINING MULTIPLE TABLES
  5. COMPOUND JOIN CONDITIONS
  6. IMPLICIT JOIN SYNTAX
  7. OUTER JOINS
  8. OUTER JOIN BETWEEN MULTIPLE TABLES
  9. SELF-OUTER JOINS
  10. THE USING CLAUSE IN JOINS
  11. NATURAL JOINS
  12. CROSS JOINS
  13. UNIONS

  1. Create
  2. Rename
  3. Alter
  4. Truncate
  5. Drop

  1. Insert
  2. Update
  3. Delete

  1. Commit
  2. Rollback
  3. Savepoint

  1. Grant
  2. Revoke

Data Visualization, Statistics & ML using R programming

  1. Introduction to RStudio's,
  2. RObjects - vectors, list, factors, matrix, arrays and data frames

  1. Without using library
  2. Using GGplot2 library

  1. Mean/Median/Mode
  2. 1 2 3 Quartile
  3. Reading csv and excel file

  1. R project 1 using lm() (linear regression)
  2. R project 2 using glm() (logistic regression)

PowerBI

  1. M- code and applied steps
  2. How to load data from csv. excel
  3. Load data from folder
  4. Conditional columns
  5. Transform vs add column

  1. What are power131 relationship
  2. Model View
  3. Star vs snowflake model
  4. bi- directional filters

  1. calculated columns vs measure
  2. Implicit vs explicit measure
  3. SUMXO
  4. Calculate()
  5. ALL()
  6. Date time functions

  1. Matrix
  2. KPI
  3. Line chart
  4. Forecasting
  5. Gauge
  6. Maps

AAA Accreditation

American Accreditation Association (AAA) accredited Training and Education Provider

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ACTD_logo

American Council of Training and Development (ACTD) Accredited Professional Training Institution

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Land your Dream Jobs
In Companies Like

Amazon
Byjus
Canva
Flipkart
Infosys
PayTM
Razorpay
Swiggy
TCS
Zomato

Experience the CDPL
Training Approach

Video Courses Bootcamps CDPL
Real work experience ✖ ✖ ✔
True, project-based learning ✖ ✖ ✔
Live sessions & mentorship ✖ ✔ ✔
Job-ready portfolio ✖ ✖ ✔
Externship with top companies ✖ ✖ ✔
Career guidance ✖ ✔ ✔
Placement Assurance ✖ ✖ ✔

Eligibility

Undergraduates

This course is structured for any undergraduate or job seeker who wants to start his career in Data Science & Machine Learning field.

Graduates

Any Fresh graduate or post-graduate looking to secure a career in the IT domain.

Professionals

Any working professional with experience in the non-IT domain and looking to enter the IT field.

Our Process

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1
Onboarding Session Onboarding Session Hover

LIVE Learning

Experience Immersive Learning Through Our Live Classrooms

2
Live Learning Live Learning Hover

Onboarding Session

Kick-start Your Learning Journey with Our On-boarding Session

3
Certification & Placement Support Certification & Placement Support Hover

Certification & Placement Support

Certification to Career: Let Us Guide Your Path to Success

Job Opportunities After Completing the Advanced Data Science Master Course

Upon completing this course, you’ll be well-equipped to pursue a variety of career paths in data science, including:

Get Course
  • Data Scientist
  • Machine Learning Engineer
  • Data Analyst
  • Business Intelligence Analyst
  • Data Engineer
  • Data Analyst (Advanced)

A career in data science is much in demand today in light of the increased reliance of finance, healthcare, retail, and technology industries on data-driven decisions. Our course prepares you to take on such roles and connect with this rapidly growing landscape of data science.

Start Your Data Science Journey Today

If you are seriously interested in building a career as a data scientist or just want to raise your game with the skills you are using, there is no better course than the Advanced Data Science Master Course. This course is full of things-teachers teaching the most relevant tools and techniques; industry-leading mentors to give that personal mentorship and assimilation of their knowledge; job readiness support; and certification-all in a way to make it easier for someone to deal with that speed and competition in data science.

Apply now -Get on your way to becoming a data science and machine learning expert. Enroll in our Advanced Data Science Master Course now and start paving the way for a fulfilling and impactful career.

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  • Data Scientist
  • Machine Learning Engineer
  • Data Analyst
  • Business Intelligence Analyst
  • Data Engineer
  • Data Analyst (Advanced)

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