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Data Analyst Learning Path

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Data Analyst Learning Path
Data Science & Business Analytics

Data Analyst Learning Path

AU$1,087.08

Simplilearn’s Data Analyst Master’s Program, in collaboration with IBM, helps you master the concepts of data science, statistics, data analytics, business analytics, Python and R programming, Tableau, Power BI and SQL databases. The program helps you gain the skills to interpret data, create data visualizations,  and build interactive dashboards. You will perform regression analysis and learn clustering techniques and data analytics.

    Related products

    Industry-recognized certificates from IBM (for IBM courses) and Simplilearn
    Masterclasses from IBM experts
    Exclusive Hackathons and live interaction with IBM experts
    Capstone from 3 domains and 20+ projects
    Portfolio-worthy capstone demonstrating mastered concepts
    Exclusive hackathons conducted by IBM
    20+ real-life projects providing hands-on industry training

    Course Delivery Method:

    Online Bootcamp: Online self-paced video-based learning and live virtual classroom conducted by the industry’s leading coaches

    Data Analyst Learning Path

    Business Analytics with Excel

    Boost your Data analytics career with powerful new Microsoft® Excel skills by taking this Data Analytics course, which includes training on Business Analytics. This combined with an official certificate will put you on the path to a successful career.

    SQL Certification Course

    Ideal for aspiring SQL developers and data analysts. Perfect for enhancing database management skills. Beginner-friendly SQL course designed by Simplilearn. Covers basics to advanced topics of SQL. Learn data storage, retrieval, and manipulation using SQL

    Programming Basics and Data Analytics with Python

    Learn how to perform Data Analytics with Python using multi-dimensional arrays in NumPy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and perform machine learning using scikit-learn. These Data Analytics courses will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more.

    R Programming for Data Science

    Discover R Programming with this introductory course. Learn how to write R code, utilize R data structures, and create your own functions.

    Data Analytics with R

    The next step to becoming a Data Analyst is learning R—the most in-demand open-source technology. R is a powerful Data Science and analytics language, which has a steep learning curve and a very vibrant community. This is why it is quickly becoming the technology of choice for organizations that are adopting the power of analytics for competitive advantage.

    Tableau Desktop Specialist Certification Training

    Aligned to Tableau Desktop Specialist Certification. Practice tests to ace the Tableau Desktop Specialist exam. Advance your career in analytics with job-ready skills. Learn to prepare data, create interactive dashboards, and analyze outliers. Master Tableau Desktop, a globally recognized data visualization and BI tool

    Data Analyst Masters Capstone

    Simplilearn’s Data Analyst Capstone project will give you an opportunity to implement the skills you learned in the Data Analyst course. With dedicated mentoring sessions, you’ll know how to solve a real industry-aligned problem. The project is the final step in the learning path and will help you to showcase your expertise to employers

    PL-300 Microsoft Power BI Certification Training

    Aligned with PL-300: Microsoft Power BI Data Analyst certification. Learn Power BI Desktop layouts, BI reports, dashboards, and more, Learn to experiment, refine, prepare, and present data with ease. Get access to practice tests to ace the PL-300 exam. Transform your career today by mastering Power BI

    Industry Master Class – Data Analytics

    Attend this interactive, online industry master class to gain insights about cutting edge Data Analytics advancements and techniques.

    Prerequsites

    To take this Data Analyst Master’s program you should have a basic understanding of mathematics.

    • Data analytics
    • Business analytics
    • Data visualization
    • Clustering methods
    • Python programming
    • R programming
    • Statistics
    • Regression analysis
    • Excel
    • NumPy
    • Pandas
    • SciPy
    • Tableau
    • IBM Watson
    • Power BI
    • Python
    • Understand essential statistical concepts, including measures of central tendency, dispersion, correlation, and regression.
    • Master SQL concepts such as Universal Query Tool and SQL commands.
    • Write your first Python program by implementing variables, strings, functions, loops, and conditions.
    • Understand the nuances of lists, sets, dictionaries, conditions and branching, objects, and classes in 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 the SciPy library of mathematical routines, and execute machine learning using scikit-learn. Perform data analytics using popular Python libraries.
    • Business Analytics with Excel
    • SQL Certification Course
    • Programming Basics and Data Analytics with Python
    • R Programming for Data Science
    • Data Analytics with R
    • Tableau Desktop Specialist Certification Training
    • Data Analyst Master’s Capstone
    • Electives:
    • PL-300 Microsoft Power BI Certification Training
    • Industry Master Class – Data Analytics

    This Data Analyst Master’s program is best suited for IT specialists, banking and finance professionals, marketing managers, supply chain network managers, and recent graduates looking to begin their career in the data analytics field.

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