PG Diploma in Data Science & Machine Learning
100% JOB Assured with Globally Accepted Certificate
Live Instructor-Led Online / Offline Sessions
Kick Start your Dream JOB in Core Domain through the Placement Assured PG Diploma program from the 24 years of excellence EdTech Company tied up with more than 500+ Hiring Partners.
Â
Overview
Learn Data Science & Machine Learning for a Dream Career
Description
The PG Diploma in Data Science and Machine Learning is a five-month professional program that provides in-depth data science knowledge and expertise. Cranes Varsity guides engineers in all critical disciplines to assume mission-critical roles in the industry. The lectures are well-planned and delivered with examples to make them more interesting and understandable.
The course is designed to transform a novice into an expert from developing Python programming, writing queries on SQL to building Machine Learning & Deep Learning Models and Cloud Computing. Our Lead mentors are industry experts and have been associated with us for decades.
Data Science Online Course with Placement
We offer the highest quality teaching, assessment and placement support through our Data Science course. With over 400+ participants placed in various multinational companies including Genpact, Ernst & Young, Capgemini, Vodafone, CGI, Wipro, Tata Elxsi, IBM, Lumen Technologies, Tech Mahindra, Birla Soft, HTC, Happiest Minds, Western Digital, Mearsk Global, Koireader, K7 Computing, Mphasis, Atos, Latent View, etc. Cranes Varsity’s Data Science Course (Available Online) is considered as the best in the industry.
Data Science Online Course Modules
Generic
- RDBMS using MySQL
- Python for Data Science
- Advanced Python (Testing and Web Scraping)
- Exploratory Data Analysis using Pandas
Data Science Specialization
- Mathematics and Statistics for Data Science
- Machine Learning using sklearn
- Machine Learning model Improvement
- Deep Learning using Tensor Flow
- Data Analysis and Visualization using Tableau
- Natural Language Processing
Projects
- Apply statistical methods to make decisions in various business problems, including bank, stock markets, etc.
- Apply regression to predict future flight price
- Apply classification to classify customer
- Use clustering to cluster banking customers
- Computer vision projects like Face recognition, Image Quality Improvement, etc.
Platform
- Anaconda Distribution Jupyter, Spyder
- Tableau
- Google Colab
Course Content
Generic:
Relational Database – SQL – 10 Days
- Introduction to databases and RDBMS
- Read, update and delete operations on tables. Working with nulls
- Joins in SQL and working examples
- SQL set based operations and data aggregation, Sub-queries in SQL
- EBS (Elastic Block Storage),VPC
- Database creation, concept of relation and working examples
- Querying tables: Select statement, examples and its variations
- Insert, Update, Delete operations and working examples
- Normalization and de-normalization: Views and Temporary tables, Transactions in SQL
- EBS volumes and Snapshots
- Creating tables. Design view of the table, Alter table operations & Key Constraints
- Filtering, Sorting, Predicates and working examples
- Scalar functions in SQL and working examples
- SQL programming, Creating stored procedures, Cursors in SQL
- RDS
Python Programming – 10 Days
- Introduction to Python
- Python Functions
- Scope of Variables
- List and Tuple
- Map and filter functions
- Set and Dictionary
- Python Data types and Conditions
- Default arguments
- Global specifier
- List Methods
- String
- Exception Handling
- Control Statements
- Functions with variable number of args
- Working with multiple files
- List Comprehension
- List comprehension with conditionals
- File Handling
Exploratory Data Analysis with Pandas – 10 Days
- NumPy
- Slicing of Matrices
- NumPy Functions across axis
- Pandas Series
- Pandas Data Frame
- Working with Categorical Data
- Sorting Data Frames
- Creating graphs using Matplotlib
- Scatter Plot, Line Graph
- Seaborn
- Vectorization
- Filtering
- Stacking of arrays
- Data Cleaning
- Selection Data (loc, iloc)
- Grouping & Aggregation
- Importing csv files
- Customizing Plots
- Bar Graph, Histogram
- Matplotlib
- Broadcasting
- Array Creation Functions
- Matrix Calculation
- Handling Missing Data
- Filtering Data Frames
- Merging Data Frame (concat, merge)
- Importing Excel Files
- Saving Plots
- Subplots
Foundational Statistics 5 Days
- Logarithm
- Standard Deviation
- Descriptive and Inferential Statistics
- Mean, Median, Mode
- Percentile
- Log Normal Distribution
- Standardization and normalization
- Python Scipy Library
- Probability and Distribution
- Binomial Theorem
- Hypothesis testing
- Inferential Statistics
- Chi-square test, T test
- Ordinal, frequency encoding
- Mean Absolute Deviation
- Normal Distribution and Z Score
- Visualizing Data
- Variance: ANOVA
- Statistical Significance
- Data Preprocessing
- Transformation
Data Analysis and Visualization Using Tableau –7 Day
- Tableau Introduction
- Working with sets
- Connect Tableau with Different Data Sources
- Cards in Tableau
- Tableau Calculations using Functions
- Traditional Visualization vs Tableau
- Creating Groups
- Visual Analytics
- Charts, Dash-board
- Building Predictive Models
- Tableau Architecture
- Data types in Tableau
- Parameter Filters
- Joins and Data Blending
- Dynamic Dashboards and Stories
Data Science Specialization:
Automotive Protocols &Autosar Architecture – 08 days
- Automotive Systems Overview Automotive System Design with CAN and Without CAN
- CAN Frame
- ECU Design Automotive Microcontroller. CAN Bus levels, CAN Communication Principle CAN layer architecture
- Timing and Synchronization CRC CalculationCSMA-CD, CAN Arbitration
- NRZ Coding, Bit Stuffing CAN network Design.
- CAN Frame Analysis Using CAN- BUSMASTER Analyzer AUTOSAR Layer Architecture
MBD for Autosar Model Deployment using Matlab & Simulink – 08 days
- Introduction to MATLAB- Data Types, Addressing Techniques, linear Equation
- Programming in MATLAB
- Logic Driven Modeling
- Creating and manipulating matrices
- Graphical User Interface
- Finite state machines
- Data Visualization-2D and 3D plots, Digital image processing
- Introduction to Model-Based Design
- Introduction to Sims cape
Placement Statistics
















































Embedded Training Course FAQs
Can I learn Data Science Online?
Yes, You can learn complete Data Science Course online.
Will I get a certificate after completion of the Data Science Course?
Yes, Certification of completion will be awarded after successful completion of all modules and clearing modules tests.
Does Data Science require coding?
Yes, Data science requires coding, required coding concepts will be covered during the course time, Python programming is used for the same.
Is doing Data Science worth it?
Yes, Data Science is in very high demand with an increase in data collection by every organization, and it is also one of the highest-paying jobs you can expect.
Who are eligible for Machine Learning?
Graduates from Science, all Engineering streams, Mtech, and MCA can apply for this course.
Is a PG diploma in Data Science and Machine Learning equivalent to a Masters?
Cranes curriculum provides Masters equivalent teaching content along with the projects. But it is not a master’s degree certificate.
What courses does Cranes Varsity offer in Data Science?
Cranes Varsity offers a range of courses in Data Science, including:
• Post Graduate Diploma in Data Science
• Advanced Certificate in Data Analytics
• Short-term courses on Machine Learning, Deep Learning, and Data Visualization
• Corporate training programs for organizations looking to upskill their teams
Who can benefit from the Data Science courses at Cranes Varsity?
Our Data Science courses are designed for:
• Graduates in fields like Computer Science, Statistics, Mathematics, Engineering, and related areas.
• Working professionals looking to transition into data science roles or enhance their analytics skills.
• Business analysts seeking to deepen their understanding of data-driven decision-making.
• Research professionals wanting to apply data science techniques in their work.
What is the duration of Data Science courses at Cranes Varsity?
The duration of courses varies:
• Post Graduate Diploma in Data Science: 6 to 12 months.
• Advanced Certificate: 3 to 6 months.
• Short-term courses: 1 to 3 months, depending on the specific topic.
What are the eligibility criteria for enrolling in Data Science courses?
Eligibility criteria typically include:
• A bachelor’s degree in computer science, Statistics, Mathematics, or a related field.
• Basic programming knowledge in languages like Python or R is advantageous but not mandatory for beginners.
What skills will I learn from the Data Science courses?
By completing a Data Science course at Cranes Varsity, you will acquire skills such as:
• Data manipulation and cleaning using Python libraries (Pandas, NumPy).
• Statistical analysis and hypothesis testing.
• Machine learning algorithms include regression, classification, clustering, and deep learning.
• Data visualization techniques using tools like Matplotlib, Seaborn, and Tableau.
• Big data technologies like Hadoop and Spark.
What programming languages are taught in Data Science courses?
In our Data Science courses, you will primarily learn:
• Python: For data manipulation, analysis, and machine learning.
• R: For statistical analysis and data visualization.
• SQL: For database management and querying
What tools and software will I work with during the Data Science course?
Students will gain hands-on experience with various tools and software, including:
• Jupyter Notebook: For interactive coding and data analysis.
• Tableau: For data visualization and business intelligence.
• TensorFlow and Keras: For machine learning and deep learning projects.
• Apache Hadoop and Spark: For handling big data.
What types of projects can I expect to work on during the Data Science course?
Students will work on various projects, including:
• Analyzing and visualizing datasets using Python and R.
• Building machine learning models for predictive analytics.
• Implementing data pipelines for data collection and processing.
• Real-world case studies to solve business problems using data-driven insights
Does Cranes Varsity provide placement assistance for Data Science courses?
Yes, Cranes Varsity offers comprehensive placement support to students. We have connections with numerous tech companies and startups. Our placement assistance includes:
• Resume building and interview preparation.
• Access to job opportunities in data science, analytics, and related fields.
• Networking opportunities with industry professionals.
What job roles can I pursue after completing a Data Science course?
Upon completing a Data Science course at Cranes Varsity, you can pursue roles such as:
• Data Scientist
• Data Analyst
• Machine Learning Engineer
• Business Intelligence Analyst
• Statistician
What is the duration of PG Diploma in Data Science and Machine Learning?
Program duration is 6 Months.
What certificates will I receive on completion of the training program?
All students will get Successful Course Completion by Cranes Varsity.
How does Cranes Varsity prepare students for industry requirements in Data Science?
Our curriculum is designed in collaboration with industry experts to meet the latest trends and demands in the data science field. We emphasize:
• Practical training through projects and real-world applications.
• Industry-relevant case studies to develop problem-solving skills.
• Guest lectures and workshops from data science professionals.
Are the Data Science courses at Cranes Varsity more theoretical or practical?
Cranes Varsity emphasizes a hands-on learning approach. While theoretical concepts are crucial, a significant portion of the course focuses on practical lab sessions, projects, and applications of data science tools and techniques.
What are the assessments like in the Data Science courses?
Assessments in the Data Science courses include:
• Hands-on coding assignments and projects.
• Quizzes and exams to test theoretical understanding.
• Capstone projects where students apply their knowledge to solve real-world problems
Is there online support for the Data Science courses?
Yes, Cranes Varsity provides online learning support for Data Science courses, including:
• Access to recorded lectures and tutorials.
• Virtual labs for practical experimentation.
• Online assignments and assessments.
• Interactive Q&A sessions with faculty
How can I enroll in a Data Science course at Cranes Varsity?
To enroll in a Data Science course:
• You can fill out the application form and the dedicated admission counsellor will contact you..
• You can also visit our campus for direct inquiries and enrollment assistance.
Who are your trainers for the program and how are they selected?
Our trainers are seasoned professionals and industry experts with over 10+ years of relevant experience teaching the AI and ML certification course. Each of them has gone through a rigorous selection process that includes profile screening, and technical evaluation before they are certified to train for us. We also ensure that only trainers with a high alumni rating continue to train for us.
Are there scholarships or discounts available for Data Science courses?
Yes, Cranes Varsity offers scholarships and financial assistance for eligible students based on merit and need. We also provide early-bird discounts for those who enroll before specified deadlines.