Turbocharged Data Science

Welcome to the Turbocharged Data Science Course by Cinute Digital! Are you ready to take your data science skills to the next level? Our course is designed to provide you with the knowledge and hands-on experience you need to excel in this exciting field. Whether you are a beginner looking to start a career in data science or a professional aiming to enhance your expertise, this course is for you!
Our Turbocharged Data Science Course covers a wide range of topics, from the basics of data manipulation to advanced machine learning techniques. Through a combination of lectures, hands-on exercises, and real-world projects, you will gain the skills and confidence to tackle complex data problems and drive data-driven decision-making in any industry.
This course is tailored to make you a highly skilled Data scientist with tools like Python, ML basics, PowerBl and Hadoop.
Job Readiness | Career Guidance and Support | Industry Certifications | Flexible Learning Schedule

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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

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

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
  6. OOPs

  1. 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

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

  1. Basic Functions

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

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. Metrics for 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 PowerBI relationship
  2. Model View
  3. Star vs snowflake model
  4. Bi- directional filters

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

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

Big Data - Hadoop

  1. Big Data definition
  2. Volume, Velocity and variety

  1. Hadoop installation directly using Cloudera QuickStart VM
     
     

  1. HDFS
  2. MAPReduce

AAA Accreditation

American Accreditation Association (AAA) accredited Training and Education Provider

ACTD_logo

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

Land your Dream Jobs
In Companies Like

Experience the CDPL
Training Approach

Video CoursesBootcampsCDPL
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


Unanswered Questions?

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