Women in Analytics | Jigsaw Academy

HOW DID IT ALL GO WRONG, SO FAST?

Women were once at the forefront of computer science, mathematics and statistics, and their achievements shaped the opportunities available today. But, somewhere along the way, gender bias, stereotypes, and cultural perceptions all created roadblocks that women just couldn’t overcome.

55%

of women in senior management have the most difficulty advancing to more senior levels compared to men in mid-level positions

20%

the gender wage gap between men and women, with men earning more

68%

of women executives believe that a woman’s contributions are undervalued by men

the number of businesses run globally by women

4/10

of executives believe that gender diversity drives better financial performance

of male executives who consider gender equality a priority at the workplace

While some of the numbers are dismal, the good news for women in technology and data is that we are no longer anomalies or outliers, because we are excelling where technical skills, advanced education, and no small amount of personal tenacity and brilliance are the minimum requirements. The gender gap is slowly shrinking, thanks to the tremendous success of women all over the world in different domains despite the odds. And to all the girls and women who aspire to become the technology stars of tomorrow… today’s a good day to be thinking about and pursuing a career in analytics!

ANALYTICS COULD BE YOUR CUP OF TEA

Do you love numbers? Believe you have strong quant. skills? Obsessed with insights, data, probability and statistics? Get ready to make the most of the boundless opportunities in analytics. Become a data scientist and help companies make the right business decisions.

9 lacs

the average earn per annum for an entry level data scientist in India

63%

of most Big Data students come from an engineering, BCA or MCA background

700,000

the estimated demand for data scientists, developers and engineers by the year 2020 according to IBM

4/5

according to a Glassdoor Study, data scientists are among the top 3 roles with the best work-life balance

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My advice to young women entering the field of analytics is-Do not hold yourself back because you are a woman; you have earned the right to be in this area; use your strengths to build a strong team. This is a golden age to be part of this domain!

- Radhika Kulkarni

VP Advanced Analytics R&D, SAS

Quote

The only way you survive is you continuously transform into something else. It’s the idea of continuous transformation that makes you an innovation company.

- Virginia ‘Ginni’ Rometty

Chairwoman, President and CEO, IBM

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The value of women in AI, machine learning & analytics can’t be denied. Amazon for example, when working on giving Alexa the human aspect of responses got 3 senior women leaders to head this project – bringing EQ to the IQ.

- Vaishali Kasture

Managing Director, India Country Manager, Experian

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I believe that Machine Learning will be the next big revolution, and there will be job displacements. I can’t stress enough on the importance of retraining efforts, and I advise those affected to concentrate on their strengths and interests to find the best alternative careers.

- Diane Green

VP of Cloud for Google

Quote

If you’re offered a seat on a rocket ship. Don’t ask which seat. Just get on.

- Sheryl Sandberg

COO, Facebook

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Many women want to reinvent their careers through data analytics. I hope that they embrace this field, taking data analytics to the next level so that businesses, products and services can be more tailored to the real expectations of consumers.

- Sairee Chahal

Founder, CEO - Sheroes

SHE’S JUST LIKE YOU. THIS IS HER STORY!

Listen to the stories of inspiring women in data science who talk about their careers, success and about what motivates them everyday. Their stories are both interesting and inspiring, revealing insights that will widen the path for other women analysts, engineers, mathematicians and data scientists.

Roopa Kumari

Associate GM for HR at Origin Learning Solutions

Charlotte Pinto

Advanced Analyst

https://youtu.be/Jvqu_0ZgZ1w

Neethu Pillai

Data Scientist at Harman Connected Services

Asha.V

Veteran in the IT industry

THERE’S A WHOLE NEW YOU WAITING TO BE DISCOVERED

Do you want to add edge, individuality and passion into your professional space? Studying data can open a wider world for you no matter what your role is. Discover how it can empower you to see the bigger picture and predict issues, trends, and habits.

DATA SCIENCE

This certification will help you master all the three critical elements of data science - statistics, tools, and business knowledge. Pick this course that teaches you data integration, data manipulation, descriptive analytics and visualization, statistical analysis, predictive analytics and machine learning models, using the most in-demand tools like R, Python, SAS, and Tableau.

BIG DATA

Get your Big Data basics covered with a program that covers both the Data Engineering and Big Data Analytics processes involved in storing, processing and managing Big Data - both structured and unstructured data, as well as the data analytics layer on top. Learn to use both traditional predictive models by connecting an analytics tool like R to Big Data Systems, as well as advanced Machine Learning algorithms on Big Data using Spark.

When you learn advanced analytic techniques on Excel and uncover data-driven insights, you will be more inclined towards better HR decision-making and reporting. The skills garnered through this program will empower HR professionals to align HR metrics with strategic business goals.

IoT

The Internet of Things (IoT) certification will teach you to the basics of electronics, such as information on circuits, sensors, micro controllers and knowledge of the latest programming languages such as Python, Java, C++, Javascript and Parasail.