Data Analyst Master's Program Certification - eLearning
1.250,00 EUR
This Data Analyst Master’s Program, in collaboration with IBM, will transform you into a data analytics expert. In this course, you will learn the latest analytics tools and techniques, how to work with SQL databases, the languages of R and Python, the art of creating data visualizations, and how to apply statistics and predictive analytics in a business environment.
Learning Path
Introduction to Data Analytics
Course 1
Business Analytics with Excel
Course 2
Programming Basics and Data Analytics with Python
Course 3
Tableau Training
Course 4
Data Analyst Capstone
Course 5
Programming Refresher
Elective Course
SQL Training
Elective course
R-Programming for Data Science
Elective Course
Data Science with R
Elective course
Power BI
Elective course
Project 1: App Rating Recommendations
Program Project
Project 2: Comcast Telecom Customer Complaints
Program Project
Project 3: E-commerce Sales Dashboard
Program Project
Project 4: Comparative Study of Countries
Program Project
Project 5: Sales Performance Analysis
Program Project
Project 6: Analysis of Sales Report of a Clothes Manufacturing Outlet
Program Project
Project 7: College Admission
Program Project
Project 8: Identifying and Recommending Best Restaurants
Program Project
Project 9: Predicting Loan Defaulters
Program Project
Project 10: Examining Factors Responsible for Heart Attacks
Program Project
Learning Outcomes
At the end of this Data Analyst Master`s Program eLearning, you will be able to:
Statistics Concepts
Understand essential statistical concepts, including measures of central tendency, dispersion, correlation, and regression.
Mastering SQL
Master SQL concepts such as Universal Query Tool and SQL command
Python Program
Write your first Python program by implementing concepts of variables, strings, functions, loops, and conditions. Understand the nuances of lists, sets, dictionaries, conditions and branching, objects, and classes in Python.
Work on Data with Python
Work with data in Python, including reading and writing files, loading, working, and saving data with Pandas. Learn how to interpret data in Python using multi-dimensional arrays in NumPy, manipulate DataFrames in Pandas, use SciPy library of mathematical routines, and execute machine learning using Scikit-Learn.
Data Analytics and Visualization
Perform data analytics using popular Python libraries. Gain insights on several data visualization libraries in Python, including Matplotlib, Seaborn, and Folium.
Master R Programming
Gain an in-depth understanding of the basics of R, learning how to write your own R scripts. Master R programming and understand how various statements are executed in R.
Key Features
Exclusive hackathons and live interaction with IBM leadership
Live masterclasses and Ask Me Anything sessions from IBM experts
8X higher live interaction with live online classes by industry experts
Capstone and 20+ real-life Data Science projects built on data sets from different industries such as Banking, eCommerce, Technology, and Manufacturing
Top-notch curriculum with integrated labs
Who Should Enroll in this Program?
A career as a data analyst requires a foundation in statistics and mathematics. Aspiring professionals of any educational background with an analytical frame of mind are best suited to pursue the Data Analyst Master’s Program, including:
IT Professionals
Banking and Finance Professionals
Marketing Managers
Supply Chain Network Managers
Beginners in the data Engineering Domain
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