Turbocharged Data Science
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Our Placements
Our Students Who Have landed Their Dream job In
Sessions
15 Lectures
Duration
30 Hrs
Placement
100% Assurance*
Job CTC
Upto 8 LPA*
Sessions
15 Lectures
Duration
30 Hrs
Placement
100% Assurance*
Job CTC
Upto 8 LPA*
LAND YOUR DREAM JOB
Analyze at the speed of thought as a High-Speed Data Analyst at dynamic startups like Revolut
Launch your career as an Accelerated ML Engineer at innovation hubs like SpaceX
Evolve quickly as an Agile Data Scientist at leading tech companies like Netflix
Strategize as a Data Strategy Consultant with consultancies like McKinsey & Company
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
Why Choose Cinute Digital?
Practical Learning
We emphasize hands-on learning with real-world projects and datasets.
Experienced Instructors
Our instructors are industry experts with years of experience in data science.
Career Support
We offer career guidance and networking opportunities to help you advance your career.
Flexible Schedule
The course is designed to fit your schedule, whether you prefer online or in-person learning.
Certification
Receive a certificate upon successful completion of the course.
Comprehensive Curriculum
Master a wide range of concepts and techniques through a meticulously designed and up-to-date curriculum.
What You'll Learn
1
Data Manipulation & Cleaning
Learn how to preprocess and clean data efficiently for analysis.
2
Exploratory Data Analysis
Gain insights into data patterns and relationships through visualization and statistics.
3
Machine Learning
Dive into the world of machine learning with algorithms for classification, regression, clustering, and more.
4
Deep Learning
Understand the fundamentals of neural networks and apply them to real-world scenarios.
5
Data Engineering
Explore data pipelines and learn how to handle large datasets effectively.
6
Data Visualization
Create compelling visualizations to communicate your findings effectively.
7
Big Data
Learn about big data technologies such as Hadoop and Spark.
OUR CURRICULUM
Our Interactive Course Content
Topics covered
Python Programming
1. Introduction to Python Programming
- What Is Python?
- Benefits of Learning Python Programming Compared to Other Programming Languages?
- Interpreted vs compiled
- Dynamic programming
- Scripted vs GUI vs Interactive mode
- OOPs
2. Installation & Environment Settings of Python IDE
- How to use google Collab and it’s benefits
3. Python Basics
- Variables
- Datatypes
- Operators
4. Python Numbers
- Integer
- Float
- Complex
5. Python String
- String Slicing
- Iterating Over String
6. Python Container Objects
- List
- Tuple
- Dictionary
7. Conditions & Looping
- If Condition
- EIif Condition
- Else Condition
- While Loop
- For Loop
- Break & Continue Statement
8. Functions
- Basic Functions
9. Python Programming
- Palindrome, Fibonacci, factorial
- Prime number, divisibility test, count of substring
Machine Learning Algorithms
1. Machine Learning Introduction
- What is DS/ AI/ Ml with examples
- ML Types
- Algorithm vs model
- Using Google colab
2. Supervised Learning
- Linear Regression with ordinary Least Square (OLS)
- Metrics for regression
PowerBI
1. Transform data using power query editor
- M- code and applied steps
- How to load data from csv, excel
- Load data from folder
- Conditional columns
- Transform vs add column
2. Creating Relationship Model
- What are PowerBI relationship
- Model View
- Star vs snowflake model
- Bi- directional filters
3. DAX
- Calculated columns vs measure
- Implicit vs explicit measure
- SUMX()
- Calculate()
- ALL()
- Date time functions
4. Creating Interactive Dashboard
- Matrix
- KPI
- Line chart
- Forecasting
- Gauge
- Maps
Big Data - Hadoop
1. Introduction to Big Data
- Big Data definition
- Volume, Velocity and variety
2. Introduction to Hadoop
- Hadoop installation directly using Cloudera QuickStart VM
3. Hadoop Component
- HDFS
- MAPReduce
Land your Dream Jobs
In Companies Like
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
LIVE Learning
Experience Immersive Learning Through Our Live Classrooms
Onboarding Session
Kick-start Your Learning Journey with Our On-boarding Session
Certification & Placement Support
Certification to Career: Let Us Guide Your Path to Success
- Get free demo session
- Online Sessions
- Hands on session
- Placement Assurance*
Some figures that matters
Learners
Years of Industry Experience
Corporate Clients