The power of data lies in its game-changing value and delivering innovation for enterprises of varying magnitudes and categories. Enterprises that succeed have a clear technology roadmap and a future strategy. Big Data Architects help in devising them with the help of data generated across several channels, devices, contacts, and social platforms. It is in the hands of the Big Data professional to make tomorrow look prosperous for the business. It’s time to get trained and certified in the field of Big Data & Analytics.
What is the current outlook for Data Science and Python globally?
The data analytics market was valued at USD 37.34 billion in 2018 and is expected to reach USD 105.08 billion by 2027, growing at a CAGR of about 12.3% from 2019 to 2027. Over 2.5 quintillion bytes of data is generated every day, and this volume increases manifold with each passing year. Data is created with every click, every swipe, every share, every search, and every stream. The global spending on data analytics was more than USD 180 billion in 2019. North America leads the data analytics market with more than 35% share of the total global revenue, owing to the fact that the region was one of the earliest adopters of the technology.
Python, the fastest growing programming language, is considered the de facto language for data science.
How important is a Data Science certification for my career?
Data scientist is one of the best jobs in 2020. According to McKinsey, the United States will be facing a shortfall of 250,000 data scientists by 2024. The job market is still evolving, though the title of a data scientist still remains on the top. The United States Bureau of Labor Statistics predicts that there would be nearly 11 million jobs created in the field by 2026.
Glassdoor analysis indicates that on an average a data science professional makes about 118,790 per annum, with Washington D.C., Massachusetts, California, Texas, Illinois, Pennsylvania and Maryland being the top 7 states hiring data science professionals.
Data scientists will always find themselves in demand owing to their skillsets which bring together the best of mathematics and statistics to further business objectives and customer experience.
To keep up with this huge demand, and to stand apart in the market, a certificate from a globally recognized organization could prove to be really useful.
Is the Data Science with Python training and certification offered by Cognixia globally recognized?
Yes, the Data Science with Python training and certification offered by Cognixia is globally recognized. This certificate is given out by Cognixia itself upon successful completion of the training and clearing the assessments, as well as other parameters. You can add this credential to your resume, your LinkedIn profile, share it on social media, as well as present it along with your resume as a validation of your skills in Internet of Things.
What does this Data Science with Python training cover?
The Data Science with Python training offered by Cognixia covers:
- Introduction to Data Science
- Data Science project Lifecycle
- Discrete and Continuous distribution functions
- Measures of central tendency
- Measures of dispersion
- Sampling and statistical inference
- Hypothesis testing
- Introduction to Python programming, Anaconda and Spyder
- Installing and configuring Python
- Control structures and data structures in Python
- Hands-on applied statistics concepts using Python
- Functions and packages in Python
- Graphics and data visualization libraries in Python
- Introduction to machine learning
- Machine learning models
- Case studies – Python
Who is this Data Science with Python training course for?
This Data science with Python training course is best suited for aspiring data science professionals, including business analysts, programmers, developers, architects, analytics and business intelligence professionals, information architects, etc. Data analysts or financial analysts from a non-IT background who wish to transition to the IT domain with a focus on data science, would find this course really useful.
What are the prerequisites for this Data Science with Python training course?
For this data science training, a basic understanding of the fundamentals of data science and computer programming languages would be beneficial.