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Wondering why machine learning is hailed as the new digital paradigm of the 21st century?
DATA SCIENTISTS
In today's data-driven world, the demand for data scientists is skyrocketing, making it one of the most trending skills. Data scientists possess the ability to analyze vast amounts of data, extract meaningful insights, and drive informed decision-making.
MACHINE LEARNING
Machine learning has emerged as one of the most trending skills in recent years, and for good reason. With the exponential growth of data and the advancements in computing power, machine learning has become a game-changer in various industries.
WHAT YOU WILL LEARN!
WHO IS DATA SCIENTIST
A data scientist is a skilled professional who analyzes complex data sets, uncovers insights, and makes data-driven decisions.
TASK OF DATA SCIENTIST
Tasks of a data scientist include data analysis, predictive modeling, machine learning, data visualization, and extracting insights from large datasets.
TOOLS AND SKILLS
Data scientists require skills in programming (Python, R), statistics, machine learning, SQL, data visualization, and tools like Tableau, and Jupyter.
GIVE - AWAY
5 People from the audience will be empowered with free course including job placements.
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LIMITED SLOTS AVAILABLE
Data Scientist Average Salary $146,000
The average annual base pay for a Data scientist in the USA.
#1 Jobs in The TECH Industry
Analyzing data from 3,604 job postings to explore the current Data science jobs market.
Zero Degree To Get You Aboard
You do not need to be a degree holder or certificate to become a Data scientist.
Upon successfully completing this course, TEKNEWLOGY will grant you certification as a Data Scientist.
Launch a new career in tech with
Data Science Training Free
Data scientists possess a unique skill set that combines expertise in statistics, mathematics, programming, and domain knowledge. Their ability to gather, clean, and process complex data sets, coupled with advanced analytical techniques, enables them to uncover valuable insights that drive business growth and innovation.
Some of The Programming Languages We Cover
Python
R
SQL
Tableau
Matlab
and many more
HOST
Ayomide Mercy
Data Scientist Teknewlogy
Frequently Asked Questions
- Anyone with an interest in skills in Data science and no IT experience needed.
- Professionals who aim to make a career growth in big data
- Those with a bachelor’s degree in an IT field and want to transition.
- Product Managers who wish to upskill themselves in Data science and analytics.
- applications and build platforms
Data analysis: Collect, clean, and analyze large datasets to extract meaningful insights and patterns.
Machine learning: Develop and implement machine learning models and algorithms to solve complex problems and make predictions.
Statistical modeling: Apply statistical techniques to identify trends, correlations, and causation within data.
Data visualization: Communicate findings and insights effectively through visualizations and reports.
Data-driven decision-making: Provide actionable recommendations based on data analysis to support business strategies and decision-making processes.
Collaborate with teams: Work closely with cross-functional teams, including business stakeholders and IT professionals, to address data-related challenges and provide data-driven solutions.
Stay updated: Continuously learn and explore new techniques, tools, and advancements in the field of data science to stay at the forefront of industry trends.
Ethical considerations: Ensure ethical use of data and maintain data privacy and security standards.
- There are over million available Data science roles and the average salary ranges from USD $147,000 to USD $200,000 per annum.