Data Analysis, Fintech, Python, Science Mastery

Course details

Big Data Analysis, Data Science, Fintech & Python for Data Analyst (13 Courses Bundle)

In today's digital era, the demand for professionals skilled in Big Data Analysis, Data Science, Fintech, and Python for Data Analysis is skyrocketing. With an impressive growth rate, these fields are expected to see a significant increase in job opportunities, making now the perfect time to dive in.

Our comprehensive 13-course bundle is meticulously designed to equip you with the skills needed to thrive in these high-demand areas. From mastering Big Data Analytics using PySpark, Power BI, and MongoDB, to gaining proficiency in Python and SQL for Data Science, this bundle opens the door to countless opportunities in the tech and financial sectors.

Whether you're aiming to leverage data for strategic decision-making, optimize financial technologies, or analyze vast datasets, this course bundle is your gateway to achieving your career goals.

This bundle comprises the following courses:

Course 01: Big Data Analytics with PySpark Power BI and MongoDB
Course 02: Big Data Analytics with PySpark Tableau Desktop and MongoDB
Course 03: Building Big Data Pipelines with PySpark MongoDB and Bokeh
Course 04: Develop Big Data Pipelines with R & Sparklyr & Tableau
Course 05: Develop Big Data Pipelines with R, Sparklyr & Power BI
Course 06: Learn Python, JavaScript, and Microsoft SQL for Data Science
Course 07: SQL for Data Science, Data Analytics, and Data Visualization
Course 08: Excel Data Analysis
Course 09: Introduction to Data Analytics with Tableau
Course 10: Business and Data Analytics for Beginners
Course 11: Google Data Studio: Data Analytics
Course 12: Basic Data Analysis
Course 13: FinTech

Learning Outcomes:

• Master Big Data analytics using tools like PySpark, Power BI, and MongoDB.
• Build and develop Big Data pipelines with both Python (PySpark) and R (Sparklyr).
• Acquire proficiency in Python and JavaScript for data science applications.
• Understand SQL for comprehensive data analysis, analytics, and visualization.
• Perform data analysis using Excel and become adept at using Tableau for data analytics.
• Navigate the basics of business and data analytics for beginners.
• Utilize Google Data Studio for insightful data analytics.
• Explore the financial technology (FinTech) sector to understand its impact on data analysis.

Description:

Upon completing the "Special Needs: Big Data, Data Science, & FinTech Analysis with Python" bundle, learners will transform into proficient data analysts, skilled in navigating and interpreting complex datasets. This comprehensive course provides hands-on experience with top-tier analytics and visualization tools, enabling participants to turn intricate data into clear, actionable insights.


Prepared to confront the dynamic challenges of the tech and finance sectors, they will leverage data to guide strategic decision-making and spur innovation. The curriculum goes beyond teaching technical data analysis skills, delving into their practical application within the FinTech landscape to significantly enhance business strategies and operational efficiencies.


What will make you stand out?

• Courses accredited by the UK's top awarding bodies.
• Opportunity to order PDF & Hardcopy Certificate.
• Lifetime access to the whole collection of learning materials.
• Interactive Content.
• You can study and complete the course at your own pace.
• 24/7 Student Support.
• Opportunity to learn from trained professionals.
• Affordable price.

Who is this course for?

• Aspiring data scientists and data analysts seeking to solidify their foundation.
• Professionals in finance looking to enhance their expertise with FinTech and data analytics.
• Tech enthusiasts eager to master big data technologies and Python programming.
• Career changers aiming to break into the high-demand fields of data science and big data analytics.

Career Paths:

• Data Analyst
• Big Data Engineer
• Business Intelligence Analyst
• Data Scientist
• FinTech Analyst
• Data Visualization Specialist
• Machine Learning Engineer
• Data Analytics Consultant

Updated on 29 March, 2024