Events Template
Learn how to write code in Python, implement related Python libraries, utilize artificial intelligence (AI) and machine learning, harness Excel for analysis, and visualize the results.
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Start DateFeb0924 weeks, Mon, Wed & Thu 5:00 PM - 8:00 PM (MT)Online
Sessions
Session 1
Mon, Feb 09 05:00 pm MST - Mon, Feb 09 08:00 pm MSTOnlineSession 2
Wed, Feb 11 05:00 pm - Wed, Feb 11 08:00 pmOnlineSession 3
Thu, Feb 12 05:00 pm - Thu, Feb 12 08:00 pmOnlineSession 4
Mon, Feb 16 05:00 pm - Mon, Feb 16 08:00 pmOnlineSession 5
Wed, Feb 18 05:00 pm - Wed, Feb 18 08:00 pmOnlineSession 6
Thu, Feb 19 05:00 pm - Thu, Feb 19 08:00 pmOnlineSession 7
Mon, Feb 23 05:00 pm - Mon, Feb 23 08:00 pmOnlineSession 8
Wed, Feb 25 05:00 pm - Wed, Feb 25 08:00 pmOnlineSession 9
Thu, Feb 26 05:00 pm - Thu, Feb 26 08:00 pmOnlineSession 10
Mon, Mar 02 05:00 pm - Mon, Mar 02 08:00 pmOnlineSession 11
Wed, Mar 04 05:00 pm - Wed, Mar 04 08:00 pmOnlineSession 12
Thu, Mar 05 05:00 pm - Thu, Mar 05 08:00 pmOnlineSession 13
Mon, Mar 09 05:00 pm - Mon, Mar 09 08:00 pmOnlineSession 14
Wed, Mar 11 05:00 pm - Wed, Mar 11 08:00 pmOnlineSession 15
Thu, Mar 12 05:00 pm - Thu, Mar 12 08:00 pmOnlineSession 16
Mon, Mar 16 05:00 pm - Mon, Mar 16 08:00 pmOnlineSession 17
Wed, Mar 18 05:00 pm - Wed, Mar 18 08:00 pmOnlineSession 18
Thu, Mar 19 05:00 pm - Thu, Mar 19 08:00 pmOnlineSession 19
Mon, Mar 23 05:00 pm - Mon, Mar 23 08:00 pmOnlineSession 20
Wed, Mar 25 05:00 pm - Wed, Mar 25 08:00 pmOnlineSession 21
Thu, Mar 26 05:00 pm - Thu, Mar 26 08:00 pmOnlineSession 22
Mon, Mar 30 05:00 pm - Mon, Mar 30 08:00 pmOnlineSession 23
Wed, Apr 01 05:00 pm - Wed, Apr 01 08:00 pmOnlineSession 24
Thu, Apr 02 05:00 pm - Thu, Apr 02 08:00 pmOnlineSession 25
Mon, Apr 06 05:00 pm - Mon, Apr 06 08:00 pmOnlineSession 26
Wed, Apr 08 05:00 pm - Wed, Apr 08 08:00 pmOnlineSession 27
Thu, Apr 09 05:00 pm - Thu, Apr 09 08:00 pmOnlineSession 34
Mon, Apr 27 05:00 pm - Mon, Apr 27 08:00 pmOnlineSession 35
Wed, Apr 29 05:00 pm - Wed, Apr 29 08:00 pmOnlineSession 36
Thu, Apr 30 05:00 pm - Thu, Apr 30 08:00 pmOnlineSession 37
Mon, May 04 05:00 pm - Mon, May 04 08:00 pmOnlineSession 38
Wed, May 06 05:00 pm - Wed, May 06 08:00 pmOnlineSession 39
Thu, May 07 05:00 pm - Thu, May 07 08:00 pmOnlineSession 40
Mon, May 11 05:00 pm - Mon, May 11 08:00 pmOnlineSession 41
Wed, May 13 05:00 pm - Wed, May 13 08:00 pmOnlineSession 42
Thu, May 14 05:00 pm - Thu, May 14 08:00 pmOnlineSession 43
Mon, May 18 05:00 pm - Mon, May 18 08:00 pmOnlineSession 44
Wed, May 20 05:00 pm - Wed, May 20 08:00 pmOnlineSession 45
Thu, May 21 05:00 pm - Thu, May 21 08:00 pmOnlineSession 46
Tue, May 26 05:00 pm - Tue, May 26 08:00 pmOnlineSession 47
Wed, May 27 05:00 pm - Wed, May 27 08:00 pmOnlineSession 48
Thu, May 28 05:00 pm - Thu, May 28 08:00 pmOnlineSession 49
Mon, Jun 01 05:00 pm - Mon, Jun 01 08:00 pmOnlineSession 50
Wed, Jun 03 05:00 pm - Wed, Jun 03 08:00 pmOnlineSession 51
Thu, Jun 04 05:00 pm - Thu, Jun 04 08:00 pmOnlineSession 52
Mon, Jun 08 05:00 pm - Mon, Jun 08 08:00 pmOnlineSession 53
Wed, Jun 10 05:00 pm - Wed, Jun 10 08:00 pmOnlineSession 54
Thu, Jun 11 05:00 pm - Thu, Jun 11 08:00 pmOnlineSession 55
Mon, Jun 15 05:00 pm - Mon, Jun 15 08:00 pmOnlineSession 56
Wed, Jun 17 05:00 pm - Wed, Jun 17 08:00 pmOnlineSession 57
Thu, Jun 18 05:00 pm - Thu, Jun 18 08:00 pmOnlineSession 58
Mon, Jun 22 05:00 pm - Mon, Jun 22 08:00 pmOnlineSession 59
Wed, Jun 24 05:00 pm - Wed, Jun 24 08:00 pmOnlineSession 60
Thu, Jun 25 05:00 pm - Thu, Jun 25 08:00 pmOnlineSession 61
Mon, Jun 29 05:00 pm - Mon, Jun 29 08:00 pmOnlineSession 62
Wed, Jul 01 05:00 pm - Wed, Jul 01 08:00 pmOnlineSession 63
Thu, Jul 02 05:00 pm - Thu, Jul 02 08:00 pmOnlineSession 64
Mon, Jul 06 05:00 pm - Mon, Jul 06 08:00 pmOnlineSession 65
Wed, Jul 08 05:00 pm - Wed, Jul 08 08:00 pmOnlineSession 66
Thu, Jul 09 05:00 pm - Thu, Jul 09 08:00 pmOnlineSession 67
Mon, Jul 13 05:00 pm - Mon, Jul 13 08:00 pmOnlineSession 68
Wed, Jul 15 05:00 pm - Wed, Jul 15 08:00 pmOnlineSession 69
Thu, Jul 16 05:00 pm - Thu, Jul 16 08:00 pmOnlineSession 70
Mon, Jul 20 05:00 pm - Mon, Jul 20 08:00 pmOnlineSession 71
Wed, Jul 22 05:00 pm - Wed, Jul 22 08:00 pmOnline- $7,995.00 excl. Tax
Description
The Data Analytics Certificate at Digital Workshop Center is a comprehensive approach towards learning problem-solving techniques for analyzing large data sets. Our program teaches you how to write code in Python, implement related Python libraries, utilize artificial intelligence (AI) and machine learning, harness Excel for analysis, and visualize the results.
To become a Data Analyst, you will need a mix of software engineering, statistics, and the ability to apply both to complex situations. Alongside your instructor as your mentor, you will gain a wide array of career skills for this fast growing, high demand field that will apply for years to come.
The Data Analytics Certificate program at Digital Workshop Center takes a modern approach to teaching data analysis - one that is frequently validated by hiring managers and will leave students fully prepared to pursue a variety of data driven career paths.
FAQ
Still have questions? Visit our FAQ page for more help.
Includes
- 198 hours of classroom training | Additional assignments outside of class
- Download materials with practice data files
- One month of technical support
- Certificate of Completion
Objectives
Upon successful completion of this program, students will:
- Learn SQL and relational database concepts
- Organize and clean up data
- Program with Python
- Expand the Python language with pandas to solve complex data problems
- Examine essential statistics functions and related SPSS terminology
- Master the functions within Microsoft Excel as an analysis and reporting tool
- Dive into AI and machine learning for data analysis
- Expand your knowledge with sklearn and machine learning algorithms
- Review the importance of your portfolio and job seeking skills for this industry
- Present your final project for critique
Prerequisites
Basic Digital Literacy is required.