Data Science & AI: Data Analyst

SIMP3005 - Data Science & AI: Data Analyst

Learning Path | No Credit or CE | Estimated 200-Hour Workload

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$1,499.00
How To Enroll?
  • feature icon Professional Development
  • feature icon All Level
  • feature icon No Credit or CE
  • feature icon Estimated 200-Hour Workload
  • feature icon Self-Paced Learning and Live Virtual Classroom
  • feature icon 1-Year Access
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Essential Digital Skills To Help You Achieve Your Career Goals

Looking to develop digital and technology skills to move your career forward? Watch this recorded webinar to learn about our exciting new professional development offerings from Simplilearn.

Description

This Data Science & AI: Data Analyst Professional Certificate in collaboration with IBM will prepare you to deepen your expertise in data analysis. In this course, you’ll learn analytics tools and techniques, how to work with SQL databases, the languages of R and Python, how to create data visualizations, and how to apply statistics and predictive analytics in a business environment.

  • Industry-recognized certificate from IBM and Simplilearn
  • Portfolio-worthy capstone demonstrating mastered concepts
  • 12+ real-world projects providing hands-on industry training

Course Delivery Method

  • Online self-paced video-based learning (OSL)
  • Live virtual classroom (LVC) conducted by industry experts

What You Will Learn

Data analytics, statistics, Python and R programming, data visualization, business analysis, Excel, Power BI, Tableau, Microsoft Excel, NumPy, pandas, SciPy, IBM Watson

Eligibility

  • Must be 18 or older
  • Professionals wishing to succeed in this data analytics training should have basic knowledge of mathematics

Refund Policy

You will have seven days to request a full refund after purchase. No hidden fees. All books and materials are included with purchase.

Curriculum

  • Course 1 - Introduction to Data Analytics

    The data analytics course for beginners will give you insights into how to apply data and analytics principles in your business. Learning analytics, data visualization, and data science methodologies through this course will prepare you to make better business decisions and improve your return on investment.

    • Complete 85% OSL; no project criteria; pass assessment test with 80% or higher

  • Course 2 - Business Analytics With Excel

    Boost your analytics career with powerful new Microsoft Excel skills in this Business Analytics With Excel course, which includes Power BI training. These two commonly used tools, combined with official business analytics certification, will put you on the path of a successful career.

    • Complete 85% OSL; pass a project; no test criteria

  • Course 3 - Tableau Training

    This Tableau certification course will help you master Tableau Desktop, a data visualization, reporting, and business intelligence tool used worldwide. Advance your career in analytics by understanding how to best use Tableau in your work.

    • Attend one LVC batch or complete 85% OSL; pass a project; no test criteria

  • Course 4 - Power BI

    The Power BI certification training will help you learn Power BI concepts like Microsoft Power BI Desktop layouts, BI reports, dashboards, Power BI DAX commands, and functions. In this Power BI certification course, you will explore how to experiment with, fix, prepare, and present data quickly and easily.

    • Complete 85% OSL; no project criteria; no test criteria

  • Course 5 - Programming Basics and Data Analytics With Python

    Learn how to analyze data in Python using multidimensional arrays in NumPy, manipulate DataFrames in pandas, use the SciPy library of mathematical routines, and perform machine learning using scikit-learn. This course 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.

    • Attend one LVC batch; pass a project; pass assessment test with 70% or higher

  • Course 6 - Data Science Certification Training - R Programming

    The Data Science certification with R Programming training builds your knowledge in data analytics using the R programming language. This course enables you to take your data science skills into a variety of companies, helping them analyze data and make more informed business decisions.

    • Attend one LVC batch or complete 85% OSL; pass a project; pass assessment test with 60% or higher

  • Course 7 - Data Analyst Capstone

    The Data Analyst capstone project will give you an opportunity to implement the skills you learned in the Data Analyst Professional Certificate program. 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.

    • Attend one LVC batch; pass a project; no test criteria

  • Electives - Optional Learning

    • Data Science in Real Life
    • Programming Refresher
    • Industry Master Class - Data Analytics
    • SQL Training

Awards

Certificate of Achievement For Data Analyst Program

Certificate of Achievement For Data Analyst Program

$1,499.00
How To Enroll?
Add to favorites
  • feature icon Professional Development
  • feature icon All Level
  • feature icon No Credit or CE
  • feature icon Estimated 200-Hour Workload
  • feature icon Self-Paced Learning and Live Virtual Classroom
  • feature icon 1-Year Access

How to enroll?

  • 1Add course to cart
  • 2Create your account
  • 3Register for course
  • 4Make payment and submit application
  • 5Start learning
-or-
email [email protected] for additional assistance

Who is this for

  • IT professionals
  • Banking and finance professionals
  • Marketing managers
  • Sales professionals
  • Supply chain network managers
  • Beginners in the data analytics domain
  • Students in undergraduate or postgraduate programs

Things To Know About Walden's Partnership With Simplilearn

Simplilearn is one of the world’s leading online training providers. Walden University's School of Lifelong Learning is partnering with Simplilearn to offer courses in high-demand, focused areas to help learners upskill.

Courses offered in partnership with Simplilearn are designed by subject matter experts in the field and reviewed by Walden’s faculty experts to ensure content meets our educational standards and bridges critical skills gaps. Once a learner purchases and registers for a course, access will be through the Simplilearn learning environment and supported by Simplilearn’s faculty and technical staff.

Courses are designed by subject matter experts in the field and reviewed by Walden’s faculty experts to ensure content meets our educational standards and bridges critical skills gaps. After purchasing a course, learners will have access to Simplilearn’s learning environment and be supported by Simplilearn’s faculty and technical staff.

Some Simplilearn courses may be aligned with industry-specific certifications. Requirements for industry certifications are based on a combination of applied industry experience, education and certification exam results. Those who wish to pursue these certifications will be prepared to demonstrate knowledge and expertise for the certification exams through the successful completion of course content.

You will earn a certificate of completion in your classroom after completion of each course’s required criteria. Upon successfully completing the full learning path, you will receive an email within 48 hours with a link to access your certificate issued by Walden University and Simplilearn.

You can register for live virtual classrooms through the online course platform, where you can view the schedule for all live, instructor-led online classes offered, allowing you to select and register for a class time that is convenient for you.

For any technical issues within the classroom, Simplilearn will provide support to learners. For any issues with logins, refunds, billing, or records, please contact [email protected].

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