Instructor Led Live Online
Self Learning + Live Mentoring
In - Person Classroom Training
The entire training includes real-world projects and highly valuable case studies.
IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.
MODULE 1: DATA SCIENCE COURSE INTRODUCTION
MODULE 2: DATA SCIENCE ESSENTIALS
MODULE 3: DATA SCIENCE DEMO
MODULE 4: ANALYTICS CLASSIFICATION
MODULE 5: DATA SCIENCE AND RELATED FIELDS
MODULE 6: DATA SCIENCE ROLES & WORKFLOW
MODULE 7: MACHINE LEARNING INTRODUCTION
MODULE 8: DATA SCIENCE INDUSTRY APPLICATIONS
MODULE 1: PYTHON BASICS
MODULE 2: PYTHON CONTROL STATEMENTS
MODULE 3: PYTHON DATA STRUCTURES
MODULE 4: PYTHON FUNCTIONS
MODULE 5: PYTHON NUMPY PACKAGE
MODULE 6: PYTHON PANDASPACKAGE
MODULE 1: OVERVIEW OF STATISTICS
MODULE 2: HARNESSING DATA
MODULE 3: EXPLORATORY DATA ANALYSIS
MODULE 4: HYPOTHESIS TESTING
MODULE 5: CORRELATION AND REGRESSION
MODULE 1: MACHINE LEARNING INTRODUCTION
MODULE 2: PYTHON NUMPY & PANDAS PACKAGE
MODULE 3: VISUALIZATION WITH PYTHON
MODULE 4: ML ALGO: LINEAR REGRESSION
MODULE 5: ML ALGO: KNN
MODULE 6: ML ALGO: LOGISTIC REGRESSION
MODULE 7: PRINCIPLE COMPONENT ANALYSIS (PCA)
MODULE 8: ML ALGO: K MEANS CLUSTERING
MODULE 1: MACHINE LEARNING INTRODUCTION
MODULE 2: ML ALGO: LINEAR REGRESSSION
MODULE 3: ML ALGO: LOGISTIC REGRESSION
MODULE 4: ML ALGO: KNN
MODULE 5: ML ALGO: K MEANS CLUSTERING
MODULE 6: PRINCIPLE COMPONENT ANALYSIS (PCA)
MODULE 7: ML ALGO: DECISION TREE
MODULE 8 : ML ALGO: NAÏVE BAYES
MODULE 9: GRADIENT BOOSTING, XGBOOST
MODULE 10: ML ALGO: SUPPORT VECTOR MACHINE (SVM)
MODULE 11: ARTIFICIAL NEURAL NETWORK (ANN)
MODULE 12: ADVANCED ML CONCEPTS
MODULE 1: TIME SERIES FORECASTING - ARIMA
MODULE 2: FEATURE ENGINEERING
MODULE 3: SENTIMENT ANALYSIS
MODULE 4: REGULAR EXPRESSIONS WITH PYTHON
MODULE 5: ML MODEL DEPLOYMENT WITH FLASK
MODULE 6: ADVANCED DATA ANALYSIS WITH MS EXCEL
MODULE 7: AWS CLOUD FOR DATA SCIENCE
MODULE 8: AZURE FOR DATA SCIENCE
MODULE 1: DATABASE INTRODUCTION
MODULE 2: SQL BASICS
MODULE 3: DATA TYPES AND CONSTRAINTS
MODULE 4: DATABASES AND TABLES (MySQL)
MODULE 5: SQL JOINS
MODULE 6: SQL COMMANDS AND CLAUSES
MODULE 7 : DOCUMENT DB/NO-SQL DB
MODULE 1: GIT INTRODUCTION
MODULE 2: GIT REPOSITORY and GitHub
MODULE 3: COMMITS, PULL, FETCH AND PUSH
MODULE 4: TAGGING, BRANCHING AND MERGING
MODULE 5: UNDOING CHANGES
MODULE 6: GIT WITH GITHUB AND BITBUCKET
MODULE 1: BIG DATA INTRODUCTION
MODULE 2 : HDFS AND MAP REDUCE
MODULE 3: PYSPARK FOUNDATION
MODULE 4: SPARK SQL and HADOOP HIVE
MODULE 5 : MACHINE LEARNING WITH SPARK ML
MODULE 6: KAFKA and Spark
MODULE 1: BUSINESS INTELLIGENCE INTRODUCTION
MODULE 2: BI WITH TABLEAU: INTRODUCTION
MODULE 3 : TABLEAU: CONNECTING TO DATA SOURCE
MODULE 4: TABLEAU : BUSINESS INSIGHTS
MODULE 5: DASHBOARDS, STORIES AND PAGES
MODULE 6: BI WITH POWER-BI
Data Science is a multidisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It combines elements of mathematics, statistics, computer science, and domain knowledge to analyze and interpret complex data sets.
Learning Data Science is important for several reasons. Firstly, it allows businesses to make data-driven decisions, leading to improved efficiency and profitability. Secondly, data science enables the discovery of patterns and trends in data, which can uncover valuable insights and opportunities. Additionally, data scientists play a crucial role in developing predictive models and machine learning algorithms, contributing to advancements in various fields such as healthcare, finance, marketing, and more.
To become a data scientist, you need a combination of technical and soft skills. Technical skills include proficiency in programming languages like Python or R, knowledge of statistical analysis and machine learning techniques, data visualization, and database queries.
Learning data science effectively involves a combination of theoretical understanding and practical application. Here are some tips:
Data scientists often encounter challenges such as:
The cost of a data science course in Rourkela ranges from INR 40,000 to INR 50,000 depending on the institute, course duration, and curriculum.
The eligibility criteria for data science courses require a bachelor's degree in a relevant field such as computer science, mathematics, statistics, or engineering is preferred. However, some courses may also accept individuals with equivalent work experience or those who have completed prerequisite courses in mathematics, programming, or statistics.
Data science has a wide scope and is applicable across various industries and domains. Organizations today generate vast amounts of data, and the need for professionals who can extract insights from this data is growing rapidly. Data scientists can find opportunities in fields such as finance, healthcare, marketing, e-commerce, telecommunications, and more. They can work on tasks like predictive modeling, data visualization, recommendation systems, fraud detection, and optimization.
Obtaining a data science certification is important as it validates one's skills and knowledge in the field, enhancing career prospects and increasing credibility among employers and peers.
Yes, there is a high demand for data science courses as organizations across industries increasingly recognize the value and potential of leveraging data to drive informed decision-making and gain a competitive edge.
Securing a job as a Data Scientist without prior experience is challenging but not impossible; it typically requires a strong educational background, relevant skills, and a demonstrated aptitude for data analysis and problem-solving.
Pursuing a career in data science is generally considered secure due to the high demand for skilled professionals and the increasing reliance on data-driven decision-making across industries. However, it is important to stay updated with emerging technologies and continuously upskill to remain competitive in this rapidly evolving field.
Python is the most recommended programming language for data science due to its extensive libraries, such as NumPy, Pandas, and Scikit-learn, which provide powerful tools for data manipulation, analysis, and machine learning.
Yes, data science requires a significant amount of mathematics, including statistics, linear algebra, and probability theory, as these concepts are fundamental for data analysis, modeling, and machine learning algorithms.
Yes, knowledge of statistics is essential for data science as it forms the foundation for understanding and analyzing data, making inferences, and building statistical models for predictive and inferential purposes.
DataMites offers comprehensive Data Science courses in Panji with a strong focus on practical learning, industry-relevant curriculum, and experienced faculty, making it an ideal choice for individuals aspiring to excel in the field of Data Science.
The Certified Data Scientist Course offered by DataMites in Rourkela is open to individuals with a background in mathematics, statistics, engineering, or any other relevant field, making it accessible to a wide range of professionals seeking to enhance their data science skills.
DataMites in Rourkela provides industry-oriented data science courses, with a focus on practical applications, hands-on experience, and expert faculty, making it an excellent choice for individuals looking to acquire in-demand data science skills and advance their careers in the field.
The course spans 8 months with 700 learning hours, including 120 hours of live online training.
Upon completing the data science course in Rourkela, students receive an IABAC certification that is globally recognized, providing them with an advantage in job placements and internship programs.
DataMites offers dedicated support and guidance for job placements through their Placement Assistance Team (PAT) upon completion of the course. This ensures that individuals receive comprehensive assistance in securing suitable employment opportunities, thereby increasing their chances of finding successful job placements.
DataMites in Rourkela provides a wide variety of data science courses, covering topics such as Data Science Foundation, Data Science for Managers, Data Science Associate, Diploma in Data Science, Python for Data Science, Statistics for Data Science, Data Science Marketing, Data Science Operations, Data Science Retail, Data Science for HR, Data Science with Finance, and Data Science.
DataMites is well-known for its team of immensely experienced data science educators. These instructors bring a wealth of expertise, qualifications, and certifications to the table. Leveraging their extensive industry knowledge, they deliver exceptional instruction, ensuring students develop a comprehensive understanding of the subject matter.
DataMites provides flexible learning options to accommodate the preferences of students. They offer a diverse range of choices, including live online sessions, self-paced learning methods, and on-demand classroom training. This flexibility empowers individuals to select the learning approach that aligns with their needs, making it convenient for them to pursue their data science education.
DataMites offers a comprehensive training approach and provides a complimentary demo class, enabling students to gain a better understanding of the training process and its various components. This allows individuals to enhance their knowledge and make informed decisions about their data science education.
Learning Through Case Study Approach
Theory → Hands-on → Case Study → Project → Model Deployment
The payment mode available for the data science course in Rourkela through:
DataMites offers its Data Science Course in Rourkela at varying price points: INR 35,000 for live online training, INR 21,000 for blended learning, and INR 44,000 for on-demand classroom training. Students have the flexibility to choose the pricing option that best suits their preferences and learning requirements.
In order to receive the participation certificate and book the certification exam, it is essential to submit photo identification proofs such as a National ID card or a Driving license as a requirement.
According to a PayScale report, the salary of a data scientist in India ranges from INR 9,10,238 per year.
The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -
The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.
No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.