This course will equip you with concepts and tools that can bring you to speed and you can utilize the skills acquired in this course to work on any business analysis project in a standardized approach. This course will teach you analyzing data using Python. From reading data, to getting useful insights from data through visualizations and predictive modeling, this course will help you in the sharping your analytical skillset in Python.
This course will take you from Basics of Python to exploring different types of data. You will learn preparing data for analysis, performing simple statistical analysis, creating meaningful data visualization, predicting future trends from the data and much more!
This course is designed to make the participant learn basics of Python in Business.
The purpose of this course to make the participant confident using Python for Data Analysis. First week will cover the Python Basics and different types of analysis that can be performed using Python. In the second week, participant will learn about Pandas (most important Python library), reading and interpretation of data using Pandas. We will talk about Numpy library and its different function. Most of the time will be spent on learning Data Wrangling, to make the participant confident in exploring and preparing data for analysis in Python.
Participant will get good hands on Exploratory Data Analysis (EDA), Regression Analysis and Visualization in Python. These days, forecasting is being used in almost all of the businesses. Through this course, participant will learn from basic forecasting models (univariate forecasting) to complex forecasting models (multivariate forecasting). And then, checking the accuracy of different models using multiple performance measures.
By the end of this course, participant would be able to perform basic analysis using Python.
to view the complete course outline.
BSc (Honors) in Management Science, LUMS
Data Scientist & Project Manager at We Crunch
Note: CES may cancel or postpone a course due to insufficient enrolment or unforeseen circumstances. In this case, the university will refund registration/processing fee (if any) but will not be responsible for any other related charges/expenses including cancellation/change charges by airline and travel agencies.
Please go through Policies
& Code of Conduct
Participants must register online through CES website by clicking on their desired course and filling out a one-page form. Before starting the registration process, please ensure that you have a formal scanned picture (for CES smart card) and CNIC details. Incorrect information provided during the registration process will lead towards cancellation of your enrolment at any stage and participants will not be entitled to claim a refund.
Once you have completed your online registration for your desired course, you may proceed to payment section. You have the option to pay online using your bank debit/credit cards through LUMS online payment system https://pay.lums.edu.pk OR by downloading the fee vouchers and depositing cash in any branch of designated banks specified on the fee voucher. Once you make your payment, you will receive a confirmation email within 24 to 48 working hours and your payment status will be updated to "PAID" in the online application portal.