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.
Modules:
9
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.
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
Variables, Operators, Strings, Data Structures, Loops, Conditionals, Functions, Regular Expressions, OOPs, Space & Time Complexity in Python.
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.
Linear Regression, Logistic Regression, KNN, SVM, Decision Trees, Random Forests, Boosting Algorithms, Imbalanced ML, and Advanced ML Modelling Techniques.
UNSUPESUPERVISED LEARNING
REVISED LEARNING
K Means Clustering, Hierarchical Clustering, Dimensionality Reduction, Principal Component Analysis, Linear Discriminant Analysis, Clustering metrics etc.
TIME SERIES & RECOMMENDER SYSTEMS
Time series fundamentals, Introduction to AR, MA, ARMA, ARIMA, SARIMA, ARIMAX,
SARIMAX Models, Introduction to Recommender systems using Surprise Package.
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.
Discover endless career opportunities, leadership roles, and skills growth with an MBA, opening doors to success
Gain top-notch skills to protect data, prevent cyber threats, and secure high-paying tech careers in Cyber Security
Learn essential skills, gain hands-on experience, and build a career in Data Science with expert-led guidance.
Gain insights into the achievements of our alumni who have excelled in their careers, demonstrating the impact of our Certified Data Science Expert Program.
Advance your skills with Eduplaced enhanced AI & ML programs designed to boost your career and personal growth.
Gain real-world experience with Eduplaced's capstone projects, designed to enhance your Cyber Security skills.
Join Eduplaced's Global MBA program and gain the skills and insights needed to lead in today’s international business world.
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.
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.
You will learn programming in Python, data manipulation and cleaning, data visualization, statistical analysis, and machine learning algorithms. The course also includes practical projects to apply your new skills.
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 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.
