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Certified Data Science Expert

eduplaced higher education offers the esteemed six-month Certified Data Science Expert program. This certification is widely recognized and sought after among data science professionals. It validates that participants possess the essential skills and knowledge required in the field of data science. Enroll in our Online Certified Data Science Expert Program, designed to provide you with the knowledge and practical skills needed to excel in the dynamic field of data science.

  • 4.9

    315,475 rating

  • 11 Lessons

  • 229 Students

  • Last updated 12/2025

By Kennedy University In Development

Objectives of Certified Data Science Expert

  • Display practical use of data science skills.
  • Improve credibility as a data science expert.
  • Show skill in analyzing and understanding data.
  • Confirm expertise in making decisions based on data.
  • Enhance confidence in managing complex data projects.
  • Keep current with the latest data science techniques.
  • Improve job opportunities and market presence in data science.
  • Position yourself as a certified practitioner in data science.
  • Become part of an elite group of data science professionals.

Explore the world of data with our six-month Certified Data Science Expert program. This course will teach you the essential skills needed for a career in data science, focusing on practical, real-world applications.

One major benefit of our Certified Data Science Expert program is that it offers many career opportunities. As more companies use data to make decisions, they need professionals who can understand and use this data well. Data scientists are very much needed in fields like finance, healthcare, e-commerce, and marketing.

Our Certified Data Science Expert program equips students with diverse skills, such as programming in Python, data handling and cleaning, data visualization, statistical analysis, and machine learning algorithms. Students also work on real-world projects, applying what they’ve learned to actual problems. Gaining our Data Science certification can significantly enhance your job prospects in this field. Employers often prefer candidates with recognized certifications, as these demonstrate proven skills and knowledge. Additionally, holding our Data Science certification can lead to better salaries and more chances for career growth.

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Statistical Functions, Logical Functions, Mathematical Functions, Lookup Functions, Charts, Dashboards, What-if Analysis, Forecasting, Linear Regression Analysis etc
Charts, Maps, Level of Details Expressions, Table Calculations, Aggregations, Granularity, Data Extracts, Filters, Dashboards and Storyboards in Tableau & Power BI.
Variables, Operators, Strings, Data Structures, Loops, Conditionals, Functions, Regular Expressions, OOPs, Space & Time Complexity in Python, and Intro to R Programming.
STATISTICS & HYPOTHESIS TESTING Descriptive Statistics, Basic and Conditional Probability, Inferential statistics, Normal distribution, Hypothesis testing, t test, z test, ANOVA, chi-squared DATA ANALYSIS AND VISUALIZATION Introduction to Numpy, Pandas, Matplotlib, Seaborn, Basic Charts for Advanced Data Visualization, Interactive Visualization, 3DCharts and Visualization. DATA CLEANING PREPARATION & PROCESSING Missing Values treatment, Outliers treatment, Categorical encoding, Data Manipulation functions, Data transformations, feature engineering, and feature scaling.
INTRO TO MY SQL AND DATA BASES Database fundamentals, DDL, DML, DQL Queries, SQL Joins, Sub queries, Set operations, Accessing databases, Loading Tables, Intro to Spark for Big Data. QUERY ANALYSIS IN PYTHON Introduction to Query analysis in Python using Pandas, and Pyspark library. Exploring the pyspark library to execute any kind of query in Python Programming. INTRO TO SPARK FOR BIG DATA Introduction to Big Data, and Spark Architecture system, Installation and setup of Spark. Big Data Analysis, and Execution of Machine Learning Algorithms.
Database fundamentals, DDL, DML, DQL Queries, SQL Joins, Sub queries, Set operations, Accessing databases, Loading Tables, Intro to Spark for Big Data.
AIntroduction to Query analysis in Python using Pandas, and Pyspark library. Exploring the pyspark library to execute any kind of query in Python Programming.
Introduction to Big Data, and Spark Architecture system, Installation and setup of Spark. Big Data Analysis, and Execution of Machine Learning Algorithms.

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Master Key Skills to Excel in the Data Science Field

Skills You Will Learn

Perfect Candidates for This Certified Data Science Expert Program​

Professionals from technical and non-technical fields.

Individuals aspiring to become data scientists.

Recent university graduates.

Current working professionals.

Anyone looking to transition into the dynamic field of data science and machine learning.

Benefits of Certified Data Science Expert​

Stand out among other data science professionals.

Boosted potential for higher earnings and salary.

Opportunity to work on exclusive data science projects.

Greater visibility and recognition within the industry.

Equipped to address complex data challenges.

Strengthened credibility in making data-driven decisions.

Edge over others in the data science job market

Top Features of the Program

Certified Data Science Expert program offers a comprehensive learning experience with key features like interactive sessions led by industry experts, hands-on projects, and real-world case studies. Gain skills in data analysis, machine learning, and AI with access to exclusive resources and live mentorship. Designed to equip you with in-demand skills, this program is your gateway to a successful career in Data Science.

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Explore FAQs for Key Insights

on Honorary Phd by Kennedy University

The Certified Data Science Expert program is a comprehensive six-month course designed to equip participants with essential skills in data science, including programming, data analysis, machine learning, and more.

Who should Enroll in this program?

This program is ideal for recent graduates, working professionals, and anyone interested in transitioning to a career in data science. No prior experience in data science is required.

There are no specific prerequisites, but a basic understanding of mathematics and a willingness to learn programming are beneficial.

You will engage in real-world projects that involve solving practical data science problems, which will help you gain hands-on experience and boost your confidence in your skills.

The course is delivered through a blend of online lectures, interactive sessions, and practical assignments, ensuring a comprehensive learning experience.

Completing this certification opens up opportunities in various industries such as finance, healthcare, e-commerce, and marketing as a data scientist, data analyst, or data engineer.

Yes, you will receive a certificate of completion from eduplaced higher education in partnership with the International Business School of Scandinavia, which can significantly enhance your professional credibility.

This certification will demonstrate your expertise in data science to potential employers, increasing your job prospects and potential for career advancement in the rapidly growing field of data science.

Participants will have access to mentorship from experienced data scientists, career guidance sessions, and technical support throughout the duration of the course.

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