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internshala.com

We are looking for a dynamic Policy Research intern to join our team at Political Sampark. As an intern, you will have the opportunity to work closely with our research team and contribute to our ongoing projects. Key Responsibilities: 1. Conduct in-depth policy research on various political issues 2. Analyze and interpret data to provide valuable insights 3. Assist in preparing reports and presentations using MS-Word and MS-PowerPoint 4. Collaborate with team members to brainstorm innovative research ideas 5. Attend meetings and participate in discussions to contribute your perspective 6. Stay updated on current events and political developments 7. Support the team in any ad-hoc tasks as needed If you are passionate about politics, have strong research skills, and eager to learn, this is the perfect opportunity for you to gain hands-on experience in the field. Apply now and be part of a dynamic team dedicated to making a difference in policy research.

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codectechnologies.in

Complete your internship at your own flexible timing, and receive your certificate within 24 hours of application. For more information about our premium and verifiable certificates, visit:https://codectechnologies.in/certificates1-Month Data Analytics Internship ProgramModule 1: Introduction to Data AnalyticsWelcome and OrientationOverview of data analytics and its importanceTools and software to be used during the internshipData Analytics Fundamentals: data types, structures, and statistical conceptsData collection methodsModule 2: Data Cleaning and PreprocessingHandling missing valuesData transformation techniquesData normalization and standardizationIntroduction to Python for Data AnalyticsBasic Python programming conceptsLibraries for data analytics: NumPy, PandasModule 3: Exploratory Data Analysis (EDA)Data visualization techniquesIdentifying patterns and insightsUsing Pandas and Matplotlib for EDAIntroduction to SQL: Basic SQL queries and data manipulationModule 4: Advanced Data AnalysisDescriptive and inferential statisticsHypothesis testingCorrelation and regression analysisAdvanced data visualization tools: Seaborn, PlotlyCreating interactive dashboardsModule 5: Machine Learning BasicsIntroduction to machine learning conceptsSupervised vs. unsupervised learningIntroduction to popular algorithms: Linear regression, decision trees, clusteringUsing Scikit-Learn for basic machine learning tasksModule 6: Applied Machine LearningData preparation for