Master Data Science in the Right Way
The Best Short Term
One of the most acceptable short-term Data Science with python course
Industry Expert
Lectures are taken by the industry experts across various platforms of Data Science
Intricately Designed
Comprehensively designed curriculum with practical explanation
On - Going Research Cell
Advanced research cell to provide accurately and relevant information
Training Pedagogy
Classroom Learning
This course includes classroom sessions with industry experts and professionals from the field of analytics. Experts carefully design this course with methods proven to give results and give the students an unforgettable learning experience.
Online Video Lectures
All students would access the online LMS that conducts the lecture recordings, doubt\discussion forum, reading material, and assignments. Online live meets are undertaken frequently so that students can understand the topics better and clear their queries.
Daily Hands-on Assignments
Day-to-day assignments are designed to help and mold the data science students into industry-ready professionals. Daily exercises and assignments help the candidate to improve every day.
Industry Perspective Meet-ups
The students of analogicx get the opportunity to be a part of the meet-ups conducted by analogicX, which mainly contains industry experts and professionals from the data science field. Students can get an expert opinion on various questions and incorporate the best practices discussed by them in the lectures.
Flexible Timings
The data science course offered by analogicx is a 3 months (one-and-a-half hours a day) program. The course is designed to conduct classes in the morning, evening, or on the weekends. In this way, you can continue with your routine work and spare time to learn this course. This course is also offered as a crash course. The crash course is designed to complete the course (5 hours a day) with 8 more weekends for projects and doubt sessions.
Capstone Projects
All students would be working on application-oriented projects from the domain of their choice. These projects will be guided and evaluated by industry experts.
Curriculum of our Data Science with python course
DATA SCIENCE INTRODUCTION
Introduction to data science; Data Science vs Business Analytics vs Big Data; Roles in data science; Applications in data science.
PYTHON FOR DATA SCIENCE
Introduction to data science with python; Python basics; Packages in python; Python advanced; Exploratory data analysis
STATISTICS FOR DATA SCIENCE
Introduction to Statistics; Harnessing Data; Exploratory Analysis; Distributions; Correlation & Regression
MACHINE LEARNING ASSOCIATES
Introduction to Machine Learning; Machine Learning Algorithms; Supervised Learning; K-Nearest Neighbor (KNN); Decision Tree; Naive Bayes Classifier; K-means Clustering
MACHINE LEARNING EXPERT
Advanced Machine Learning Concepts; Random Forest – Ensemble; Support Vector Machine (SVM); Natural Language Processing (NLP)…
TIME SERIES ANALYSIS
What is Time Series; Tend, Seasonality, cyclical and Random; White Noise; Auto Regressive Model;Â
SQL IN DATA SCIENCE
Install SQL packages and Connecting to DB SQLalchemy; PyMySQL; Relation Database Management); Primary Key, Foregin Key.
TABLEAU FOUNDATION
Tableau Introduction; Connecting to Data Source; Visual Analystics; Forecasting
Capstone Projects
Computer Vision Projects
Analytics Project
Natural Language Processing Projects
Projects related to Sales/Product
Medical/ Pharma Projects
Frequently Asked Questions
Morining Batch – 7:30 AM – 9:00 AM (3 Months Weekdays + 2 Months Project Weekends)
Regular Batch – 11:00 AM – 4:30 PM (1 Month Weekdays + 2 Months Project Weekends)
Data Science is not a separate domain, but a tool/technology which can be used in any domain. Our course is designed to address the needs of non-programmers and candidates who have no IT knowledge as well. Anyone who has an interest in Data Science can take up this course.
Maximum intake of 15 students in order to ensure sufficient attention to each student.
Students can look at job profiles such as- Data analyst, Data Scientist, Machine Learning Expert, Business analyst, Chief Data Officer, Data Engineer or anything where data science is needed.
This data science course is thoughtfully designed to allow learners both with and without programming background to make a transition into the analytics industry with the correct skill-set.
We recommend this course to the following:
– Software professionals who aspire to explore a career in the field of data analytics.
– IT professionals who are passionate about Data Science Course.
– Analytics professionals who are desirous of exploring the power of Python
– Anyone who has an innate desire to study and learn Data Science
– Experienced professionals that wish to shift to Data Science as their career.
If you are unable to attend a class for any reason, we would provide an access to a recording of that class to keep you at par with other students. You will also always be connected with your fellow participants and program leaders through Google Classroom and WhatsApp for any kind of support
You will get a certificate from IBM career education. This is a globally recognized certificate which will open many career opportunities for you in the future.
What Our Students Say
Contact for Course
Enrol on Data Science with Python course. Every batch starts every Monday.
