Key Highlights
- Online Practical Labs
- Certification
- No Cost EMI Option
- Dedicated Student Mentor
- 24/7 Support
- Industry-grade Projects
- Self-Paced Videos
- 60+ Industry Projects
Data Science using R & Python Trainingcourse includes:
- Full lifetime access
- Access on mobile and TV
- Certificate of completion
- Assignments
- Practice test
Job Opportunities
- Data Scientist/Analyst - Machine Learning/Deep Learning
- Artificial Intelligence Expert - Data Scientist/ Machine Learning
- Data Engineer
- Research Engineer - Data Analytics & Artificial Intelligence
Why should you take Data Science?
- The number of Data Science and Analytics job listings is projected to grow by nearly 364,000 listings by 2020 - Forbes
- The average salary for a Data Scientist is $120k as per Glassdoor
- Businesses analysing data will see $430 billion in productivity benefits over their rivals not analysing data by 2020
What you’ll learn
- Solve any data analytics problem using R and Python
- Perform Logistic Regression using Cancer remission data set.
- Linear regression in python
- Data visualization in R-Bar graphs,Stacked bar,grouped bar graph,Line chart for time series data,Box plot to calculate mean, median, min ,max ,3rd quartile and 1st quartile values
- Basics of Python,importing sys library,platform,checking the platform,run a code,checking data type,performing calculations,concatenating of strings,conversion of values,working on tuples,
- Data mapping and indexing using enumerate,creating dictionaries using enumerate,sorting without order,reversing the list,append the list.
- Mathematical on Array using Numpy,decalring the 2D array,3D array,dtype,numpy operations,boolean array
- Vector operation with data alignment,creating data frame out of dictionary of equal length list,create Data frame by combining two series,create Data frame from array.
- Perform Data exploratory functions,importing and exporting the data sets,Data manipulation
- Data manipulation in R-Dply,Filter,multiple filter,mutate,arrange,summarize.......etc
This Data Science course from SMEClabs is best for individuals who are looking to transform their careers. People who have the passion to use the data, analyze, visualize and use it for the betterment of the Business and the society. For those mathematics enthusiasts, who can apply maths in real life and solve complex business challenges. This is specifically ideal for the people who are
- Analysts and Software engineers looking for a career shift in the data science stream.
- Freshers who want to start the career as we teach from the basics and gradually build up your skills.
- Individuals who are graduated and working in the Data Science field and looking to upgrade their careers.
The market for Data Analytics is growing across the world and this strong growth pattern translates into a great opportunity for all the IT Professionals. Our Data Science Training helps you to grab this opportunity and accelerate your career by applying the techniques on different types of Data. It is best suited for:
- Developers aspiring to be a ‘Data Scientist’
- Analytics Managers who are leading a team of analysts
- Business Analysts who want to understand Machine Learning (ML) Techniques
- Information Architects who want to gain expertise in Predictive Analytics
- ‘R’ professionals who wish to work Big Data
- Analysts wanting to understand Data Science methodologies
Data Science using R & Python Training Syllabus:
- ➢ Life Cycle of Data Science
➢ Skills required for Data Science
➢ Careers Path in Data Science
➢ Applications of Data Science
➢ Relationship between Statistics and Data Science
➢ Introduction to Data
➢ Descriptive Statistics
➢ Inferential Statistics
➢ Random Sampling and Probability Distribution
➢ Python programming
➢Python for Exploratory Data Analysis
- • Introduction to RDBMS
• Retrieving
• Updating
• Inserting
• Deleting
• Sorting AND Filtering
• Summarizing AND Grouping
• Using Subqueries
• Joining Tables
• Views
• Stored Procedure
• Python Database ConnectionAPI
- ➢ Introduction To Machine Learning
• Text preprocessing using Bag of words technique
• TF(Term Frequency)
• IDF(Inverse Document Frequency)
• Normalization
• Vectorization
• NLP with Python
Detailed Syllabus
Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects
Data Science using Python online training
Attend a 30-minute FREE class with our Top Trainers
Our Trainers are Industrial Experience super-experts who simplify complex
concepts visually through real examples
Enquiry for Batch & Seat Availability
Everything You Need is Here
- Designed for Working Professionals
- 71+ Data Science Industry Case Studies & Projects
- 17 Unique Specialisations
- IIT Kanpur Alumni organised syllabus
- Job Assistance with Top Firms
Our Certification & Accreditation
The SMEClabs Advantage
Industry Mentors
- Receive unparalleled guidance from industry mentors, teaching assistants, and graders
- Receive one-on-one feedback on submissions and personalised feedback for improvement
Student Success Mentors
- A dedicated Success Mentors is allocated to each student so as to ensure consistent progress
- Success Mentors are your single points of contact for all your non-academic queries
Q&A Forum
- Timely doubt resolution by industry experts and peers
- 100% expert verified responses to ensure quality learning
Expert Feedback
- Personalised expert feedback on assignments and projects
- Regular live sessions by experts to clarify concept related doubts
SMEClabs BaseCamp
- Fun-packed, informative, and career building workshops
- Sessions by industry professionals and professors
- Group activities with your peers and alumni
Live Expert InteractionÂ
- Live sessions by experts on various industrial topics
- One-on-one discussion and feedback sessions with industry mentors
