Data Analytics 8-Week Program

In just two months, you will gain practical skills to collect, process, analyze and interpret data so that you can develop actionable insights. Expand your skills by understanding how to leverage statistics, data mining and big data to develop strategies in marketing, retail, health care, finance and other fields. Pay special attention to effectively use programming and data visualization when working on a project.

Gain a competitive advantage as you enter the workforce or aspire for that promotion. Everything you learn can be put to use in the workplace immediately.

Lead Instructor: Pramod Gupta

Lead Instructor: Pramod Gupta

Pramod Gupta, Ph.D., is a data enthusiast with 20-plus years of experience in data mining, data science, predictive analytics and applied machine learning algorithms. He is passionate about using analytics and data mining to turn data into meaningful insights and to build products. He has extensive experience working on statistical and predictive modeling, building algorithms and finding answers to unknown questions using Machine Learning algorithms.

Program Benefits

Learn Live Online

Access classroom-style interactive learning from anywhere in the world! Attend scheduled online sessions with your instructor and classmates in addition to completing your coursework.

Intensive Curriculum

Attend 3 hours of classes and workshops each day, Monday–Friday. Earn 8 academic credits (120 hours of instruction total).

Real-World Experience

Work on projects that require extracting and analyzing data using tools such as tables, charts, pivot tables, basic statistical analysis, Python, databases and SQL.

Academic Excellence

Learn at a top-ranked global public university.

Capstone Project

Build your portfolio with a real-world capstone project that you complete as you progress through the course.

Schedule

Progress through each topic, week by week, learning alongside your fellow classmates.

Weeks 1–2: Programming Python

Study practical applications in Python including general programming for the web, systems administration, text handling and object-oriented programming. You also get the opportunity to study examples of useful working programs.

Weeks 3–4: Introduction to Data Analytics

Get an overview of advanced Excel, SQL and R to perform analysis on huge sets of data. Learn the theory behind formulating statistical models by using regression analysis. You also study segmentation theory and methods such as k-means clustering that are used for data mining and analysis.

Weeks 5–6: Introduction to Databases

Study the fundamentals and components of databases, including data structures and relationships. You then apply that knowledge to access databases using Microsoft Access form-based queries, followed by Structured Query Language (SQL) queries using DBMS products such as MySQL and Oracle. You then pay particular attention to database design follows, including the database life cycle, the normalization process and a survey of common data structure patterns.

Weeks 7–8: Data Analytics and Visualization

Learn techniques to effectively produce actionable reports and visualizations from data and data sets. You research data sets from a variety of business disciplines using Microsoft Excel, Microsoft Power BI and Google Analytics. Through hands-on exercises, you leverage statistical, data-querying and dashboard tools to create products that accurately convey crucial business trends and themes.

Upon completion, you will receive a certificate from our accredited institution.

Program Details

Summer 2020 (View semester-length Spring and Fall programs here.)

June 1–July 24, 2020

Apply by May 13

Tuition: $8,000 USD

This includes:

  • Course tuition and textbooks
  • Academic advising

The tuition does not include:

  • Housing
  • Meals
  • Transportation
  • Personal activities

Admission requirements:

  • Grade Point Average (GPA): 3.0
  • Completion of three years of undergraduate study
  • Knowledge of statistics (fulfill this prerequisite by taking Introduction to Statistics online)

English-Language Proficiency Requirement

Whether you are a student, working professional or lifelong learner, you will need to demonstrate English proficiency to be considered for admission into any of our programs for international students.

Because English-language proficiency test centers are closed due to COVID-19, you can meet our English-language requirement in any of the following ways:

Test Scores

  • TOEFL: 90
  • IELTS: 7
  • DAAD: C1
  • Cambridge English First (FCE): C
  • TEM-4 or TEM-8: 70

iBT Special Home Edition and myBest scores are accepted. Scores must be from the past two years.

Interview

If you do not meet any of the above criteria, you can request an English-language interview through our department. If you are interested in this option, please select, "I would like to request an English interview" in your online application.

Note: Transcripts and credentials should reflect the program that you completed in English. Our Admissions department will assess all documentation and inform you if additional items are needed. Please note that our admissions process is holistic and meeting the English-language proficiency requirement does not guarantee acceptance. Email internationaladmissions@berkeley.edu with questions or to learn more.

Waiver

You may request a waiver if you meet one of the following requirements:

  • You have completed one year of full-time college-level instruction entirely in the English language.
  • You have successfully completed a university-level program in a country or region where English is the official language.
  • You are from a country or region on the exempt list. Contact an adviser for more information.

Talk to an Adviser

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